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Table
of Contents
AAMAS'23
Chairs Welcome
Conference
Organization
Area
Chairs
Senior
Programme Committee
Programme
Committee
Auxiliary
Reviewers
Special
Track Reviewers
Awards
Sponsors
& Supporters
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Keynote
Talks
Multiagent
Learning: From Fundamentals to Foundation Models (Page
1)
Karl Tuyls (DeepMind)
Common
Sense: The Dark Matter of Language and Intelligence (Page
2)
Yejin Choi (University of Washington & Allen Institute for Artificial
Intelligence)
Geometric
Principles of Individual and Collective Decision-Making (Page
3)
Iain Couzin (University of Konstanz)
Proportionality
in Multiwinner Voting: The Power of Local Search (Page
4)
Edith Elkind (University of Oxford & Alan Turing Institute) |
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Session
1A: Multiagent Reinforcement Learning I
Trust
Region Bounds for Decentralized PPO Under Non-stationarity (Page
5)
Mingfei Sun (University of Manchester)
Sam Devlin (Microsoft Research)
Jacob Beck (University of Oxford)
Katja Hofmann (Microsoft Research)
Shimon Whiteson (University of Oxford)
Multi-Agent
Reinforcement Learning for Adaptive Mesh Refinement (Page
14)
Jiachen Yang (LLNL)
Ketan Mittal (LLNL)
Tarik Dzanic (Texas A&M University)
Socratis Petrides (LLNL)
Brendan Keith (Brown University)
Brenden Petersen (LLNL)
Daniel Faissol (LLNL)
Robert Anderson (LLNL)
Adaptive
Learning Rates for Multi-Agent Reinforcement Learning (Page
23)
Jiechuan Jiang (Peking University)
Zongqing Lu (Peking University)
Adaptive
Value Decomposition with Greedy Marginal Contribution Computation for
Cooperative Multi-Agent Reinforcement Learning (Page
31)
Shanqi Liu (Zhejiang University)
Yujing Hu (NetEase Fuxi AI Lab)
Runze Wu (NetEase Fuxi AI Lab)
Dong Xing (Zhejiang University)
Yu Xiong (NetEase Fuxi AI Lab)
Changjie Fan (NetEase Fuxi AI Lab)
Kun Kuang (Zhejiang University)
Yong Liu (Zhejiang University)
A
Variational Approach to Mutual Information-Based Coordination for Multi-Agent
Reinforcement Learning (Page
40)
Woojun Kim (KAIST)
Whiyoung Jung (KAIST)
Myungsik Cho (KAIST)
Youngchul Sung (KAIST)
Mediated
Multi-Agent Reinforcement Learning (Page
49)
Dmitry Ivanov (HSE University)
Ilya Zisman (HSE University)
Kirill Chernyshev (HSE University)
EXPODE:
EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent
Reinforcement Learning (Page
58)
Yucong Zhang (Sun Yat-Sen University)
Chao Yu (Sun Yat-Sen University)
TiZero:
Mastering Multi-Agent Football with Curriculum Learning and Self-Play (Page
67)
Fanqi Lin (Tsinghua Univerisity)
Shiyu Huang (4Paradigm Inc.)
Tim Pearce (Microsoft Research)
Wenze Chen (Tsinghua Univerisity)
Wei-Wei Tu (4Paradigm Inc.) |
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Session
1B: Planning
Ask
and You Shall be Served: Representing & Solving Multi-agent Optimization
Problems with Service Requesters and Providers (Page
77)
Maya Lavie (Ben Gurion University of the Negev)
Tehila Caspi (Ben Gurion University of the Negev)
Omer Lev (Ben Gurion University of the Negev)
Roie Zivan (Ben Gurion University of the Negev)
Fairness
Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem (Page
86)
Napendra Solanki (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Suman Banerjee (Indian Institute of Technology Jammu)
Yayathi Pavan Kumar S (Indian Institute of Technology Ropar)
Domain-Independent
Deceptive Planning (Page
95)
Adrian Price (Monash University)
Ramon Fraga Pereira (University of Manchester)
Peta Masters (King's College London)
Mor Vered (Monash University)
CAMS:
Collision Avoiding Max-Sum for Mobile Sensor Teams (Page
104)
Arseni Pertzovskiy (Ben-Gurion University of the Negev)
Roie Zivan (Ben-Gurion University of the Negev)
Noa Agmon (Bar-Ilan University)
Risk-Constrained
Planning for Multi-Agent Systems with Shared Resources (Page
113)
Anna Gautier (University of Oxford)
Marc Rigter (University of Oxford)
Bruno Lacerda (University of Oxford)
Nick Hawes (University of Oxford)
Michael Wooldridge (University of Oxford)
Quantitative
Planning with Action Deception in Concurrent Stochastic Games (Page
122)
Chongyang Shi (University of Florida)
Shuo Han (University of Illinois Chicago)
Jie Fu (University of Florida)
Towards
Computationally Efficient Responsibility Attribution in Decentralized
Partially Observable MDPs (Page
131)
Stelios Triantafyllou (Max Planck Institute for Software Systems)
Goran Radanovic (Max Planck Institute for Software Systems)
On-line
Estimators for Ad-hoc Task Execution: Learning Types and Parameters of
Teammates for Effective Teamwork (Page
140)
Matheus Ap. do Carmo Alves (Lancaster University)
Elnaz Shafipour Yourdshahi (University of Surrey)
Amokh Varma (Indian Institute of Technology)
Leandro Soriano Marcolino (Lancaster University)
Jó Ueyama (University of Săo Paulo)
Plamen Angelov (Lancaster University) |
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Session
1C: Fair Allocations
Fair
Allocation of Two Types of Chores (Page
143)
Haris Aziz (UNSW Sydney)
Jeremy Lindsay (UNSW Sydney)
Angus Ritossa (UNSW Sydney)
Mashbat Suzuki (UNSW Sydney)
Fairly
Dividing Mixtures of Goods and Chores under Lexicographic Preferences (Page
152)
Hadi Hosseini (Pennsylvania State University)
Sujoy Sikdar (Binghamton University)
Rohit Vaish (Indian Institute of Technology Delhi)
Lirong Xia (Rensselaer Polytechnic Institute)
Graphical
House Allocation (Page
161)
Hadi Hosseini (Penn State University)
Justin Payan (University of Massachusetts, Amherst)
Rik Sengupta (University of Massachusetts, Amherst)
Rohit Vaish (IIT Delhi)
Vignesh Viswanathan (University of Massachusetts, Amherst)
Approximation
Algorithm for Computing Budget-Feasible EF1 Allocations (Page
170)
Jiarui Gan (University of Oxford)
Bo Li (Hong Kong Polytechnic University)
Xiaowei Wu (University of Macau)
Yankee
Swap: A Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations (Page
179)
Vignesh Viswanathan (University of Massachusetts, Amherst)
Yair Zick (University of Massachusetts, Amherst)
Fairness
in the Assignment Problem with Uncertain Priorities (Page
188)
Zeyu Shen (Duke University)
Zhiyi Wang (Duke University)
Xingyu Zhu (Duke University)
Brandon Fain (Duke University)
Kamesh Munagala (Duke University)
Possible
Fairness for Allocating Indivisible Resources (Page
197)
Haris Aziz (UNSW Sydney)
Bo Li (The Hong Kong Polytechnic University)
Shiji Xing (The Hong Kong Polytechnic University)
Yu Zhou (The Hong Kong Polytechnic University)
Efficient
Nearly-Fair Division with Capacity Constraints (Page
206)
Hila Shoshan (Ariel University)
Noam Hazon (Ariel University)
Erel Segal-Halevi (Ariel University) |
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Session
1D: Equilibria and Complexities of Games
Equilibria
and Convergence in Fire Sale Games (Page
215)
Nils Bertschinger (Frankfurt Institute for Advanced Studies)
Martin Hoefer (Goethe University Frankfurt)
Simon Krogmann (Hasso Plattner Institute)
Pascal Lenzner (Hasso Plattner Institute)
Steffen Schuldenzucker (Goethe University Frankfurt)
Lisa Wilhelmi (Goethe University Frankfurt)
Bridging
the Gap Between Single and Multi Objective Games (Page
224)
Willem Röpke (Vrije Universiteit Brussel)
Carla Groenland (Universiteit Utrecht)
Roxana Rădulescu (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)
Is
Nash Equilibrium Approximator Learnable? (Page
233)
Zhijian Duan (Peking University)
Wenhan Huang (Shanghai Jiao Tong University)
Dinghuai Zhang (Mila - Quebec AI Institute)
Yali Du (King's College London)
Jun Wang (University College London)
Yaodong Yang (Peking University)
Xiaotie Deng (Peking University)
Learning
the Stackelberg Equilibrium in a Newsvendor Game (Page
242)
Nicolň Cesa-Bianchi (Universitŕ degli Studi di Milano & Politecnico
di Milano)
Tommaso Cesari (University of Ottawa)
Takayuki Osogami (IBM Research - Tokyo)
Marco Scarsini (Luiss University)
Segev Wasserkrug (IBM Research - Israel)
Hedonic
Games With Friends, Enemies, and Neutrals: Resolving Open Questions and
Fine-Grained Complexity (Page
251)
Jiehua Chen (TU Wien)
Gergely Csáji (TU Wien)
Sanjukta Roy (The Pennsylvania State University)
Sofia Simola (TU Wien)
Debt
Transfers in Financial Networks: Complexity and Equilibria (Page
260)
Panagiotis Kanellopoulos (University of Essex)
Maria Kyropoulou (University of Essex)
Hao Zhou (University of Essex)
A
Study of Nash Equilibria in Multi-Objective Normal-Form Games (Page
269)
Willem Röpke (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Roxana Rădulescu (Vrije Universiteit Brussel)
Learning
Properties in Simulation-Based Games (Page
272)
Cyrus Cousins (UMass Amherst)
Bhaskar Mishra (University of Florida)
Enrique Areyan Viqueira (enriqueareyan.com)
Amy Greenwald (Brown University) |
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Session
1E: Human-Agent Teams
Establishing
Shared Query Understanding in an Open Multi-Agent System (Page
281)
Nikolaos Kondylidis (Vrije Universiteit Amsterdam)
Ilaria Tiddi (Vrije Universiteit Amsterdam)
Annette ten Teije (Vrije Universiteit Amsterdam)
Communicating
Agent Intentions for Human-Agent Decision Making under Uncertainty (Page
290)
Julie Porteous (RMIT University)
Alan Lindsay (Heriot-Watt University)
Fred Charles (Bournemouth University)
Trusting
Artificial Agents: Communication Trumps Performance (Page
299)
Marin Le Guillou (ONERA)
Laurent Prévot (Aix Marseille Univ, CNRS, LPL)
Bruno Berberian (ONERA)
Nonverbal
Human Signals Can Help Autonomous Agents Infer Human Preferences for Their
Behavior (Page 307)
Kate Candon (Yale University)
Jesse Chen (Yale University)
Yoony Kim (Yale University)
Zoe Hsu (Yale University)
Nathan Tsoi (Yale University)
Marynel Vázquez (Yale University)
On
Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy (Page
317)
Sagalpreet Singh (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Shashi Shekhar Jha (Indian Institute of Technology Ropar)
Do
Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop
Analysis of Factual & Counterfactual Explanations (Page
326)
Lujain Ibrahim (New York University Abu Dhabi)
Mohammad M. Ghassemi (Michigan State University)
Tuka Alhanai (New York University Abu Dhabi)
Automated
Task-Time Interventions to Improve Teamwork using Imitation Learning (Page
335)
Sangwon Seo (Rice University)
Bing Han (Rice University)
Vaibhav Unhelkar (Rice University)
Should
My Agent Lie for Me? A Study on Attitudes of US-basedParticipants Towards
Deceptive AI in Selected Future-of-work (Page
345)
StefanXXX Sarkadi (King's College London)
Peidong Mei (University of Exeter)
Edmond Awad (University of Exeter) |
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Session
1F: Knowledge Representation and Reasoning I
A
Logic of Only-Believing over Arbitrary Probability Distributions (Page
355)
Qihui Feng (RWTH-Aachen University)
Daxin Liu (The University of Edinburgh)
Vaishak Belle (The University of Edinburgh)
Gerhard Lakemeyer (RWTH-Aachen University)
A
Deontic Logic of Knowingly Complying (Page
364)
Carlos Areces (UNC & CONICET)
Valentin Cassano (UNC, UNRC & CONICET)
Pablo F. Castro (UNRC & CONICET)
Raul Fervari (UNC & CONICET)
Andrés R. Saravia (UNC & CONICET)
Learning
Logic Specifications for Soft Policy Guidance in POMCP (Page
373)
Giulio Mazzi (University of Verona)
Daniele Meli (University of Verona)
Alberto Castellini (University of Verona)
Alessandro Farinelli (University of Verona)
Strategic
(Timed) Computation Tree Logic (Page
382)
Jaime Arias (Université Sorbonne Paris Nord)
Wojciech Jamroga (Institute of Computer Science, Polish Academy of
Sciences & University of Luxembourg)
Wojciech Penczek (Institute of Computer Science, Polish Academy of
Sciences)
Laure Petrucci (Université Sorbonne Paris Nord)
Teofil Sidoruk (Warsaw University of Technology)
Attention!
Dynamic Epistemic Logic Models of (In)attentive Agents (Page
391)
Gaia Belardinelli (University of Copenhagen)
Thomas Bolander (Technical University of Denmark)
(Arbitrary)
Partial Communication (Page
400)
Rustam Galimullin (University of Bergen)
Fernando R. Velázquez-Quesada (University of Bergen)
Epistemic
Abstract Argumentation Framework: Formal Foundations, Computation and
Complexity (Page
409)
Gianvincenzo Alfano (University of Calabria)
Sergio Greco (University of Calabria)
Francesco Parisi (University of Calabria)
Irina Trubitsyna (University of Calabria)
Actions,
Continuous Distributions and Meta-Beliefs (Page
418)
Vaishak Belle (University of Edinburgh & Alan Turing Institute) |
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Session
2A: Multiagent Reinforcement Learning II
AC2C:
Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement
Learning (Page 427)
Xuefeng Wang (The Hong Kong University of Science and Technology)
Xinran Li (The Hong Kong University of Science and Technology)
Jiawei Shao (The Hong Kong University of Science and Technology)
Jun Zhang (The Hong Kong University of Science and Technology)
Learning
Structured Communication for Multi-Agent Reinforcement Learning (Page
436)
Junjie Sheng (East China Normal University)
Xiangfeng Wang (East China Normal University)
Bo Jin (Tongji University)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Jun Wang (East China Normal University)
Junchi Yan (Shanghai Jiao Tong University)
Tsung-Hui Chang (The Chinese University of Hong Kong, Shenzhen)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen
Institute of AI and Robotics for Society)
Model-based
Sparse Communication in Multi-agent Reinforcement Learning (Page
439)
Shuai Han (Utrecht University)
Mehdi Dastani (Utrecht University)
Shihan Wang (Utrecht University)
Get
It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent
RL (Page 448)
Phillip J.K. Christoffersen (Massachusetts Institute of Technology)
Andreas A. Haupt (Massachusetts Institute of Technology)
Dylan Hadfield-Menell (Massachusetts Institute of Technology)
The
Benefits of Power Regularization in Cooperative Reinforcement Learning (Page
457)
Michelle Li (Massachusetts Institute of Technology)
Michael Dennis (University of California, Berkeley)
MAC-PO:
Multi-Agent Experience Replay via Collective Priority Optimization (Page
466)
Yongsheng Mei (The George Washington University)
Hanhan Zhou (The George Washington University)
Tian Lan (The George Washington University)
Guru Venkataramani (The George Washington University)
Peng Wei (The George Washington University)
Self-Motivated
Multi-Agent Exploration (Page
476)
Shaowei Zhang (Nanjing University)
Jiahan Cao (Nanjing University)
Lei Yuan (Nanjing University & Polixir Technologies)
Yang Yu (Nanjing University & Polixir Technologies)
De-Chuan Zhan (Nanjing University & Polixir Technologies)
Sequential
Cooperative Multi-Agent Reinforcement Learning (Page
485)
Yifan Zang (Institute of Automation, Chinese Academy of Sciences &
University of Chinese Academy of Sciences)
Jinmin He (Institute of Automation, Chinese Academy of Sciences & University
of Chinese Academy of Sciences)
Kai Li (Institute of Automation, Chinese Academy of Sciences & University
of Chinese Academy of Sciences)
Haobo Fu (Tencent AI Lab)
Qiang Fu (Tencent AI Lab)
Junliang Xing (Tsinghua University) |
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Session
2B: Planning + Task/Resource Allocation
Online
Coalitional Skill Formation (Page
494)
Saar Cohen (Bar-Ilan University)
Noa Agmon (Bar-Ilan University)
Multi-Agent
Consensus-based Bundle Allocation for Multi-mode Composite Tasks (Page
504)
Gauthier Picard (ONERA/DTIS, Université de Toulouse)
Allocation
Problem in Remote Teleoperation: Online Matching with Offline Reusable
Resources and Delayed Assignments (Page
513)
Osnat Ackerman Viden (Bar-Ilan University)
Yohai Trabelsi (Bar-Ilan University)
Pan Xu (New Jersey Institute of Technology)
Karthik Abinav Sankararaman (Meta)
Oleg Maksimov (Bar-Ilan University)
Sarit Kraus (Bar-Ilan University)
Optimal
Coalition Structures for Probabilistically Monotone Partition Function
Games (Page 522)
Shaheen Fatima (Loughborough University)
Michael Wooldridge (Oxford University)
A
Comparison of New Swarm Task Allocation Algorithms in Unknown Environments
with Varying Task Density (Page
525)
Grace Cai (Massachusetts Institute of Technology)
Noble Harasha (Massachusetts Institute of Technology)
Nancy Lynch (Massachusetts Institute of Technology)
Abstracting
Noisy Robot Programs (Page
534)
Till Hofmann (RWTH Aachen University)
Vaishak Belle (The University of Edinburgh)
Structural
Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method
for Online Multiagent Planning (Page
543)
Qian Che (Southeast University)
Wanyuan Wang (Southeast University)
Fengchen Wang (Southeast University)
Tianchi Qiao (Southeast University)
Xiang Liu (Southeast University)
Jiuchuan Jiang (Nanjing University of Finance and Economics)
Bo An (Nanyang Technological University)
Yichuan Jiang (Southeast University)
Strategic
Planning for Flexible Agent Availability in Large Taxi Fleets (Page
552)
Rajiv Ranjan Kumar (Singapore Management University)
Pradeep Varakantham (Singapore Management University)
Shih-Fen Cheng (Singapore Management University) |
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Session
2C: Fair Allocations + Public Goods Games
Equitability
and Welfare Maximization for Allocating Indivisible Items (Page
561)
Ankang Sun (University of Warwick)
Bo Chen (University of Warwick)
Xuan Vinh Doan (University of Warwick)
Best
of Both Worlds: Agents with Entitlements (Page
564)
Martin Hoefer (Goethe University)
Marco Schmalhofer (Goethe University)
Giovanna Varricchio (Goethe University)
Mitigating
Skewed Bidding for Conference Paper Assignment (Page
573)
Inbal Rozenzweig (Technion - Israel Institute of Technology)
Reshef Meir (Technion - Israel Institute of Technology)
Nicholas Mattei (Tulane)
Ofra Amir (Technion - Israel Institute of Technology)
Price
of Anarchy in a Double-Sided Critical Distribution System (Page
582)
David Sychrovský (Charles University)
Jakub Černý (Nanyang Technological University)
Sylvain Lichau (University of Bordeaux)
Martin Loebl (Charles University)
Improved
EFX Approximation Guarantees under Ordinal-based Assumptions (Page
591)
Evangelos Markakis (Athens University of Economics and Business and
Input Output Global (IOG))
Christodoulos Santorinaios (Athens University of Economics and Business
and Archimedes Research Unit)
Assigning
Agents to Increase Network-Based Neighborhood Diversity (Page
600)
Zirou Qiu (University of Virginia)
Andrew Yuan (University of Virginia)
Chen Chen (University of Virginia)
Madhav V. Marathe (University of Virginia)
S.S. Ravi (University of Virginia & University at Albany - SUNY)
Daniel J. Rosenkrantz (University of Virginia & University at Albany
- SUNY)
Richard E. Stearns (University of Virginia & University at Albany -
SUNY)
Anil Vullikanti (University of Virginia)
Altruism,
Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in
Binary Networked Public Goods Games (Page
609)
Jichen Li (Peking University)
Xiaotie Deng (Peking University)
Yukun Cheng (Suzhou University of Science and Technology)
Yuqi Pan (Peking University)
Xuanzhi Xia (Peking University)
Zongjun Yang (Peking University)
Jan Xie (Cryptape)
The
Role of Space, Density and Migration in Social Dilemmas (Page
625)
Jacques Bara (University of Warwick)
Fernando P. Santos (University of Amsterdam)
Paolo Turrini (University of Warwick) |
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Session
2D: Behavioral and Algorithmic Game Theory
Non-strategic
Econometrics (for Initial Play) (Page
634)
Daniel Chui (University of Alberta & Amii)
Jason Hartline (Northwestern University)
James R. Wright (University of Alberta & Amii)
Efficient
Stackelberg Strategies for Finitely Repeated Games (Page
643)
Natalie Collina (University of Pennsylvania)
Eshwar Ram Arunachaleswaran (University of Pennsylvania)
Michael Kearns (University of Pennsylvania)
Learning
Density-Based Correlated Equilibria for Markov Games (Page
652)
Libo Zhang (University of Electronic Science and Technology of China
& University of Auckland)
Yang Chen (University of Auckland)
Toru Takisaka (University of Electronic Science and Technology of China)
Bakh Khoussainov (University of Electronic Science and Technology of
China)
Michael Witbrock (University of Auckland)
Jiamou Liu (University of Auckland)
IRS:
An Incentive-compatible Reward Scheme for Algorand (Page
661)
Maizi Liao (University of Waterloo)
Wojciech Golab (University of Waterloo)
Seyed Majid Zahedi (University of Waterloo)
Data
Structures for Deviation Payoffs (Page
670)
Bryce Wiedenbeck (Davidson College)
Erik Brinkman (Independent Researcher) |
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Session
2E: Humans and AI Agents
PECAN:
Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination (Page
679)
Xingzhou Lou (Institution of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Jiaxian Guo (The University of Sydney)
Junge Zhang (Institution of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Jun Wang (University College London)
Kaiqi Huang (Institution of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Yali Du (King's College London)
Semi-Autonomous
Systems with Contextual Competence Awareness (Page
689)
Saaduddin Mahmud (University of Massachusetts, Amherst)
Connor Basich (University of Massachusetts, Amherst)
Shlomo Zilberstein (University of Massachusetts, Amherst)
Joint
Engagement Classification using Video Augmentation Techniques for Multi-person
HRI in the wild (Page
698)
Yubin Kim (MIT Media Lab)
Huili Chen (MIT Media Lab)
Sharifa Algohwinem (MIT Media Lab)
Cynthia Breazeal (MIT Media Lab)
Hae Won Park (MIT Media Lab)
Multiagent
Inverse Reinforcement Learning via Theory of Mind Reasoning (Page
708)
Haochen Wu (University of Michigan)
Pedro Sequeira (SRI International)
David V. Pynadath (University of Southern California)
Persuading
to Prepare for Quitting Smoking with a Virtual Coach: Using States and
User Characteristics to Predict Behavior (Page
717)
Nele Albers (Delft University of Technology)
Mark A. Neerincx (Delft University of Technology & TNO)
Willem-Paul Brinkman (Delft University of Technology)
Think
Twice: A Human-like Two-stage Conversational Agent for Emotional Response
Generation (Page
727)
Yushan Qian (Tianjin University)
Bo Wang (Tianjin University)
Shangzhao Ma (Tianjin University)
Wu Bin (Quesoar Co. Ltd.)
Shuo Zhang (Quesoar Co. Ltd.)
Dongming Zhao (China Mobile Communication Group Tianjin Co., Ltd.)
Kun Huang (China Mobile Communication Group Tianjin Co., Ltd.)
Yuexian Hou (Tianjin University)
Generating
Stylistic and Personalized Dialogues for Virtual Agents in Narratives (Page
737)
Weilai Xu (Bournemouth University)
Fred Charles (Bournemouth University)
Charlie Hargood (Bournemouth University)
Reducing
Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual
Reality (Page 747)
David Obremski (University of Würzburg)
Ohenewa Bediako Akuffo (University of Würzburg)
Leonie Lücke (University of Würzburg)
Miriam Semineth (University of Würzburg)
Sarah Tomiczek (University of Würzburg)
Hanna-Finja Weichert (University of Würzburg)
Birgit Lugrin (University of Würzburg) |
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Session
2F: Knowledge Representation and Reasoning II
Provable
Optimization of Quantal Response Leader-Follower Games with Exponentially
Large Action Spaces (Page
756)
Jinzhao Li (Purdue University)
Daniel Fink (Cornell Lab of Ornithology)
Christopher Wood (Cornell Lab of Ornithology)
Carla P. Gomes (Cornell University)
Yexiang Xue (Purdue University)
Playing
to Learn, or to Keep Secret: Alternating-Time Logic Meets Information
Theory (Page 766)
Masoud Tabatabaei (University of Luxembourg)
Wojciech Jamroga (University of Luxembourg & Polish Academy of Sciences)
Synthesis
of Resource-Aware Controllers Against Rational Agents (Page
775)
Rodica Condurache (A. I. Cuza University of Iaşi)
Catalin Dima (LACL -- Université Paris-Est Créteil)
Youssouf Oualhadj (LACL -- Université Paris-Est Créteil)
Nicolas Troquard (Free University of Bozen-Bolzano)
Computationally
Feasible Strategies (Page
784)
Catalin Dima (Université Paris-Est Créteil)
Wojciech Jamroga (Polish Academy of Sciences & University of Luxembourg)
Towards
the Verification of Strategic Properties in Multi-Agent Systems with Imperfect
Information (Page
793)
Angelo Ferrando (University of Genoa)
Vadim Malvone (Télécom Paris) |
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Session
3A: Reinforcement Learning
Follow
your Nose: Using General Value Functions for Directed Exploration in Reinforcement
Learning (Page 802)
Durgesh Kalwar (TCS Research)
Omkar Shelke (TCS Research)
Somjit Nath (TCS Research)
Hardik Meisheri (TCS Research)
Harshad Khadilkar (TCS Research)
FedFormer:
Contextual Federation with Attention in Reinforcement Learning (Page
810)
Liam Hebert (University of Waterloo)
Lukasz Golab (University of Waterloo)
Pascal Poupart (University of Waterloo & Vector Institute)
Robin Cohen (University of Waterloo)
Diverse
Policy Optimization for Structured Action Space (Page
819)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
Shanchao Yang (The Chinese University of Hong Kong, Shenzhen)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen
Institute of AI and Robotics for Society)
Enhancing
Reinforcement Learning Agents with Local Guides (Page
829)
Paul Daoudi (Huawei Noah's Ark Lab)
Bogdan Robu (GIPSA-Lab)
Christophe Prieur (GIPSA-Lab)
Ludovic Dos Santos (Criteo AI Lab)
Merwan Barlier (Huawei Noah's Ark Lab)
Scalar
Reward is Not Enough (Page
839)
Peter Vamplew (Federation University Australia)
Benjamin J. Smith (University of Oregon)
Johan Källström (Linköping University)
Gabriel Ramos (Universidade do Vale do Rio dos Sinos)
Roxana Rădulescu (Vrije Universiteit Brussel)
Diederik M. Roijers (Vrije Universiteit Brussel)
Conor F. Hayes (University of Galway)
Friedrik Hentz (Linköping University)
Patrick Mannion (University of Galway)
Pieter J.K. Libin (Vrije Universiteit Brussel)
Richard Dazeley (Deakin University)
Cameron Foale (Federation University Australia)
Targeted
Search Control in AlphaZero for Effective Policy Improvement (Page
842)
Alexandre Trudeau (University of Alberta)
Michael Bowling (University of Alberta)
Out-of-Distribution
Detection for Reinforcement Learning Agents with Probabilistic Dynamics
Models (Page 851)
Tom Haider (Fraunhofer IKS)
Karsten Roscher (Fraunhofer IKS)
Felippe Schmoeller da Roza (Fraunhofer IKS)
Stephan Günnemann (Technical University of Munich)
Knowledge
Compilation for Constrained Combinatorial Action Spaces in Reinforcement
Learning (Page 860)
Jiajing Ling (Singapore Management University)
Moritz Lukas Schuler (Singapore Management University)
Akshat Kumar (Singapore Management University)
Pradeep Varakantham (Singapore Management University) |
| (Return
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Session
3B: Multiagent Path Finding
Anonymous
Multi-Agent Path Finding with Individual Deadlines (Page
869)
Gilad Fine (Bar-Ilan University)
Dor Atzmon (Royal Holloway, University of London)
Noa Agmon (Bar-Ilan University)
Learn
to Solve the Min-max Multiple Traveling Salesmen Problem with Reinforcement
Learning (Page 878)
Junyoung Park (Korea Advanced Institute of Science and Technology)
Changhyun Kwon (University of South Florida)
Jinkyoo Park (Korea Advanced Institute of Science and Technology)
Counterfactual
Fairness Filter for Fair-Delay Multi-Robot Navigation (Page
887)
Hikaru Asano (The University of Tokyo)
Ryo Yonetani (OMRON SINIC X)
Mai Nishimura (OMRON SINIC X)
Tadashi Kozuno (OMRON SINIC X)
Improved
Complexity Results and an Efficient Solution for Connected Multi-Agent
Path Finding (Page
896)
Isseďnie Calviac (Univ Rennes, CNRS, Inria)
Ocan Sankur (Univ Rennes, CNRS, Inria)
François Schwarzentruber (Univ Rennes, CNRS)
Optimally
Solving the Multiple Watchman Route Problem with Heuristic Search (Page
905)
Yaakov Livne (Ben-Gurion University)
Dor Atzmon (Royal Holloway University of London)
Shawn Skyler (Ben-Gurion University)
Eli Boyarski (Ben-Gurion University)
Amir Shapiro (Ben-Gurion University)
Ariel Felner (Ben-Gurion University)
Distributed
Planning with Asynchronous Execution with Local Navigation for Multi-agent
Pickup and Delivery Problem (Page
914)
Yuki Miyashita (Shimizu Corporation)
Tomoki Yamauchi (Waseda University)
Toshiharu Sugawara (Waseda University)
Energy-aware
UAV Path Planning with Adaptive Speed (Page
923)
Jonathan Diller (Colorado School of Mines)
Qi Han (Colorado School of Mines)
Coordination
of Multiple Robots along Given Paths with Bounded Junction Complexity (Page
932)
Mikkel Abrahamsen (University of Copenhagen)
Tzvika Geft (Tel Aviv University)
Dan Halperin (Tel Aviv University)
Barak Ugav (Tel Aviv University) |
| (Return
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Session
3C: Matching
Best
of Both Worlds Fairness under Entitlements (Page
941)
Haris Aziz (UNSW Sydney)
Aditya Ganguly (UNSW Sydney)
Evi Micha (University of Toronto)
Probabilistic
Rationing with Categorized Priorities: Processing Reserves Fairly and
Efficiently (Page
949)
Haris Aziz (UNSW Sydney)
Semi-Popular
Matchings and Copeland Winners (Page
957)
Telikepalli Kavitha (Tata Institute of Fundamental Research)
Rohit Vaish (Indian Institute of Technology Delhi)
Host
Community Respecting Refugee Housing (Page
966)
Duan Knop (Czech Technical University in Prague)
imon Schierreich (Czech Technical University in Prague)
Online
Matching with Delays and Stochastic Arrival Times (Page
976)
Mathieu Mari (University of Warsaw and IDEAS NCBR)
Michał Pawłowski (University of Warsaw and IDEAS NCBR)
Runtian Ren (University of Warsaw and IDEAS NCBR)
Piotr Sankowski (University of Warsaw, IDEAS NCBR and MIM Solutions)
Adapting
Stable Matchings to Forced and Forbidden Pairs (Page
985)
Niclas Boehmer (Technische Universität Berlin)
Klaus Heeger (Technische Universität Berlin)
Stable
Marriage in Euclidean Space (Page
994)
Yinghui Wen (Shandong University)
Zhongyi Zhang (Shandong University)
Jiong Guo (Shandong University)
A
Map of Diverse Synthetic Stable Roommates Instances (Page
1003)
Niclas Boehmer (Technische Universität Berlin)
Klaus Heeger (Technische Universität Berlin)
Stanisław Szufa (AGH University)
|
| (Return
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Session
3D: Learning in Games
Empirical
Game-Theoretic Analysis for Mean Field Games (Page
1025)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)
Differentiable
Arbitrating in Zero-sum Markov Games (Page
1034)
Jing Wang (New York University & Shanghai Qi Zhi Institute)
Meichen Song (Stony Brook University & Shanghai Qi Zhi Institute)
Feng Gao (Tsinghua University & Shanghai Qi Zhi Institute)
Boyi Liu (Northwestern University)
Zhaoran Wang (Northwestern University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)
Learning
Parameterized Families of Games (Page
1044)
Madelyn Gatchel (University of Michigan)
Bryce Wiedenbeck (Davidson College)
Fictitious
Cross-Play: Learning Global Nash Equilibrium in Mixed Cooperative-Competitive
Games (Page 1053)
Zelai Xu (Tsinghua University)
Yancheng Liang (Tsinghua University)
Chao Yu (Tsinghua University)
Yu Wang (Tsinghua University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)
Cost
Inference for Feedback Dynamic Games from Noisy Partial State Observations
and Incomplete Trajectories (Page
1062)
Jingqi Li (University of California, Berkeley)
Chih-Yuan Chiu (University of California, Berkeley)
Lasse Peters (Delft University of Technology)
Somayeh Sojoudi (University of California, Berkeley)
Claire Tomlin (University of California, Berkeley)
David Fridovich-Keil (University of Texas, Austin)
Multiplicative
Weight Updates for Extensive Form Games (Page
1071)
Chirag Chhablani (University of Illinois at Chicago)
Michael Sullins (University of Illinois at Chicago)
Ian A. Kash (University of Illinois at Chicago)
A
Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning
for Spatiotemporal Mean Field Games (Page
1079)
Xu Chen (Columbia University)
Shuo Liu (Columbia University)
Xuan Di (Columbia University)
Adversarial
Inverse Reinforcement Learning for Mean Field Games (Page
1088)
Yang Chen (University of Auckland)
Libo Zhang (University of Auckland)
Jiamou Liu (University of Auckland)
Michael Witbrock (University of Auckland) |
| (Return
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Session
3E: Learning with Humans and Robots
GANterfactual-RL:
Understanding Reinforcement Learning Agents' Strategies through Visual
Counterfactual Explanations (Page
1097)
Tobias Huber (University of Augsburg)
Maximilian Demmler (University of Augsburg)
Silvan Mertes (University of Augsburg)
Matthew L. Olson (Oregon State University)
Elisabeth André (University of Augsburg)
Asynchronous
Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot
Cooperative Exploration (Page
1108)
Chao Yu (Tsinghua University)
Xinyi Yang (Tsinghua University)
Jiaxuan Gao (Tsinghua University)
Jiayu Chen (Tsinghua University)
Yunfei Li (Tsinghua University)
Jijia Liu (Tongji University)
Yunfei Xiang (Tsinghua University)
Ruixin Huang (Tsinghua University)
Huazhong Yang (Tsinghua University)
Yi Wu (Tsinghua University & Shanghai Qi Zhi Institute)
Yu Wang (Tsinghua University)
Dec-AIRL:
Decentralized Adversarial IRL for Human-Robot Teaming (Page
1116)
Prasanth Sengadu Suresh (University of Georgia)
Yikang Gui (University of Georgia)
Prashant Doshi (University of Georgia)
Structural
Attention-based Recurrent Variational Autoencoder for Highway Vehicle
Anomaly Detection (Page
1125)
Neeloy Chakraborty (University of Illinois)
Aamir Hasan (University of Illinois)
Shuijing Liu (University of Illinois)
Tianchen Ji (University of Illinois)
Weihang Liang (University of Illinois)
D. Livingston McPherson (University of Illinois)
Katherine Driggs-Campbell (University of Illinois)
Controlled
Diversity with Preference : Towards Learning a Diverse Set of Desired
Skills (Page 1135)
Maxence Hussonnois (Deakin University)
Thommen George Karimpanal (Deakin University)
Santu Rana (Deakin University)
Learning
from Multiple Independent Advisors in Multi-agent Reinforcement Learning (Page
1144)
Sriram Ganapathi Subramanian (Vector Institute & University of Waterloo)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence
Institute)
Kate Larson (University of Waterloo)
Mark Crowley (University of Waterloo) |
| (Return
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Session
3F: Engineering Multiagent Systems
Kiko:
Programming Agents to Enact Interaction Models (Page
1154)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Amit K. Chopra (Lancaster University)
CraftEnv:
A Flexible Collective Robotic Construction Environment for Multi-Agent
Reinforcement Learning (Page
1164)
Rui Zhao (Tencent Robotics X Lab)
Xu Liu (Shanghai Jiao Tong University & Tencent Robotics X Lab)
Yizheng Zhang (Tencent Robotics X Lab)
Minghao Li (Tencent Robotics X Lab & Sun Yat-sen University)
Cheng Zhou (Tencent Robotics X Lab)
Shuai Li (Shanghai Jiao Tong University)
Lei Han (Tencent Robotics X Lab)
Feedback-Guided
Intention Scheduling for BDI Agents (Page
1173)
Michael Dann (RMIT University)
John Thangarajah (RMIT University)
Minyi Li (RMIT University)
A
Behaviour-Driven Approach for Testing Requirements via User and System
Stories in Agent Systems (Page
1182)
Sebastian Rodriguez (RMIT University)
John Thangarajah (RMIT University)
Michael Winikoff (Victoria University of Wellington)
ML-MAS:
A Hybrid AI Framework for Self-Driving Vehicles (Page
1191)
Hilal Al Shukairi (University of Aberdeen)
Rafael C. Cardoso (University of Aberdeen)
Signifiers
as a First-class Abstraction in Hypermedia Multi-Agent Systems (Page
1200)
Danai Vachtsevanou (University of St. Gallen)
Andrei Ciortea (University of St. Gallen)
Simon Mayer (University of St. Gallen)
Jérémy Lemée (University of St. Gallen)
MAIDS
- A Framework for the Development of Multi-Agent Intentional Dialogue
Systems (Page 1209)
Débora C. Engelmann (PUCRS & University of Genoa)
Alison R. Panisson (UFSC)
Renata Vieira (University of Évora)
Jomi Fred Hübner (UFSC)
Viviana Mascardi (University of Genoa)
Rafael H. Bordini (PUCRS)
Mandrake:
Multiagent Systems as a Basis for Programming Fault-Tolerant Decentralized
Applications (Page
1218)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Amit K. Chopra (Lancaster University) |
| (Return
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Session
4A: Reinfocement and Immitation Learning
Curriculum
Offline Reinforcement Learning (Page
1221)
Yuanying Cai (Tsinghua University)
Chuheng Zhang (Microsoft Research Asia)
Hanye Zhao (Microsoft Research Asia)
Li Zhao (Microsoft Research Asia)
Jiang Bian (Microsoft Research Asia)
Decentralized
Model-Free Reinforcement Learning in Stochastic Games with Average-Reward
Objective (Page 1230)
Romain Cravic (University Grenoble Alpes, Inria, CNRS, Grenoble INP,
LIG)
Nicolas Gast (University Grenoble Alpes, Inria, CNRS, Grenoble INP,
LIG)
Bruno Gaujal (University Grenoble Alpes, Inria, CNRS, Grenoble INP,
LIG)
Less
Is More: Refining Datasets for Offline Reinforcement Learning with Reward
Machines (Page 1239)
Haoyuan Sun (University of Science and Technology of China)
Feng Wu (University of Science and Technology of China)
A
Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline
Hybrid Learning (Page
1248)
John Wesley Hostetter (North Carolina State University)
Mark Abdelshiheed (North Carolina State University)
Tiffany Barnes (North Carolina State University)
Min Chi (North Carolina State University)
Learning
to Coordinate from Offline Datasets with Uncoordinated Behavior Policies (Page
1258)
Jinming Ma (University of Sicence and Technology of China)
Feng Wu (University of Sicence and Technology of China)
D-Shape:
Demonstration-Shaped Reinforcement Learning via Goal-Conditioning (Page
1267)
Caroline Wang (The University of Texas at Austin)
Garrett Warnell (Army Research Laboratory & The University of Texas
at Austin)
Peter Stone (The University of Texas at Austin & Sony AI)
How
To Guide Your Learner: Imitation Learning with Active Adaptive Expert
Involvement (Page
1276)
Xu-Hui Liu (Nanjing University)
Feng Xu (Nanjing University)
Xinyu Zhang (Nanjing University)
Tianyuan Liu (Nanjing University)
Shengyi Jiang (The University of Hong Kong)
Ruifeng Chen (Nanjing University)
Zongzhang Zhang (Nanjing University)
Yang Yu (Nanjing University & Peng Cheng Laboratory)
Imitating
Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive
Games (Page 1285)
The Viet Bui (Singapore Management University)
Tien Mai (Singapore Management University)
Thanh H. Nguyen (University of Oregon) |
| (Return
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Session
4B: Multi-Armed Bandits + Monte Carlo Tree Search
Indexability
is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless
Bandits (Page 1294)
Abheek Ghosh (University of Oxford)
Dheeraj Nagaraj (Google Research)
Manish Jain (Google Research)
Milind Tambe (GoogleGoogle Research)
Avoiding
Starvation of Arms in Restless Multi-Armed Bandits (Page
1303)
Dexun Li (Singapore Management University)
Pradeep Varakantham (Singapore Management University)
Restless
Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused
Learning (Page 1312)
Shresth Verma (Google Research India)
Aditya Mate (Harvard University)
Kai Wang (Harvard University)
Neha Madhiwalla (ARMMAN)
Aparna Hegde (ARMMAN)
Aparna Taneja (Google Research India)
Milind Tambe (Google Research India)
Fairness
for Workers Who Pull the Arms: An Index Based Policy for Allocation of
Restless Bandit Tasks (Page
1321)
Arpita Biswas (Harvard University)
Jackson A. Killian (Harvard University)
Paula Rodriguez Diaz (Harvard University)
Susobhan Ghosh (Harvard University)
Milind Tambe (Harvard University)
On
Regret-optimal Cooperative Nonstochastic Multi-armed Bandits (Page
1329)
Jialin Yi (London School of Economics and Political Science)
Milan Vojnović (London School of Economics and Political Science)
Equilibrium
Bandits: Learning Optimal Equilibria of Unknown Dynamics (Page
1336)
Siddharth Chandak (Stanford University)
Ilai Bistritz (Stanford University)
Nicholas Bambos (Stanford University)
ExPoSe:
Combining State-Based Exploration with Gradient-Based Online Search (Page
1345)
Dixant Mittal (National University of Singapore)
Siddharth Aravindan (National University of Singapore)
Wee Sun Lee (National University of Singapore)
Formally-Sharp
DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation
with Formal Methods (Page
1354)
Debraj Chakraborty (Université Libre de Bruxelles)
Damien Busatto-Gaston (University Paris Est Créteil)
Jean-François Raskin (Université Libre de Bruxelles)
Guillermo A. Pérez (University of Antwerp) |
| (Return
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Session
4C: Auctions + Voting
Price
of Anarchy for First Price Auction with Risk-Averse Bidders (Page
1363)
Zhiqiang Zhuang (Tianjin University)
Kewen Wang (Griffith University)
Zhe Wang (Griffith University)
A
Redistribution Framework for Diffusion Auctions (Page
1370)
Sizhe Gu (ShanghaiTech University)
Yao Zhang (ShanghaiTech University)
Yida Zhao (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)
Sybil-Proof
Diffusion Auction in Social Networks (Page
1379)
Hongyin Chen (Peking University)
Xiaotie Deng (Peking University)
Ying Wang (Peking University)
Yue Wu (Peking University)
Dengji Zhao (ShanghaiTech University)
Representing
and Reasoning about Auctions (Page
1388)
Munyque Mittelmann (University of Naples Federico II)
Laurent Perrussel (University of Toulouse Capitole - IRIT)
Sylvain Bouveret (University of Grenoble Alpes)
Revisiting
the Distortion of Distributed Voting (Page
1391)
Aris Filos-Ratsikas (University of Edinburgh)
Alexandros A. Voudouris (University of Essex)
Bounded
Approval Ballots: Balancing Expressiveness and Simplicity for Multiwinner
Elections (Page 1400)
Dorothea Baumeister (Heinrich-Heine-Universität)
Linus Boes (Heinrich-Heine-Universität)
Christian Laußmann (Heinrich-Heine-Universität)
Simon Rey (ILLC, University of Amsterdam)
On
the Distortion of Single Winner Elections with Aligned Candidates (Page
1409)
Dimitris Fotakis (National Technical University of Athens)
Laurent Gourvčs (Université Paris Dauphine-PSL, CNRS)
SAT-based
Judgment Aggregation (Page
1412)
Ari Conati (University of Helsinki)
Andreas Niskanen (University of Helsinki)
Matti Järvisalo (University of Helsinki) |
| (Return
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Session
4E: Robotics
Decentralised
and Cooperative Control of Multi-Robot Systems through Distributed Optimisation (Page
1421)
Yi Dong (University of Liverpool)
Zhongguo Li (University College London)
Xingyu Zhao (University of Liverpool)
Zhengtao Ding (University of Manchester)
Xiaowei Huang (University of Liverpool)
Byzantine
Resilience at Swarm Scale: A Decentralized Blocklist Protocol from Inter-robot
Accusations (Page
1430)
Kacper Wardega (Boston University)
Max von Hippel (Boston University)
Roberto Tron (Boston University)
Cristina Nita-Rotaru (Boston University)
Wenchao Li (Boston University)
Stigmergy-based,
Dual-Layer Coverage of Unknown Regions (Page
1439)
Ori Rappel (Technion - Israel Institute of Technology)
Michael Amir (Technion - Israel Institute of Technology)
Alfred M. Bruckstein (Technion - Israel Institute of Technology)
Mitigating
Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping
Approach (Page 1448)
Jinlin Chen (The Hong Kong Polytechnic University)
Jiannong Cao (The Hong Kong Polytechnic University)
Zhiqin Cheng (The Hong Kong Polytechnic University)
Wei Li (Jiangnan University)
Gathering
of Anonymous Agents (Page
1457)
Arnhav Datar (IIT Madras)
Nischith Shadagopan M N (IIT Madras)
John Augustine (IIT Madras)
Safe
Deep Reinforcement Learning by Verifying Task-Level Properties (Page
1466)
Enrico Marchesini (Northeastern University)
Luca Marzari (University of Verona)
Alessandro Farinelli (University of Verona)
Christopher Amato (Northeastern University)
Decentralized
Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered
Voronoi Cells (Page
1476)
Yiwei Lyu (Carnegie Mellon University)
John M. Dolan (Carnegie Mellon University)
Wenhao Luo (University of North Carolina at Charlotte)
Heterogeneous
Multi-Robot Reinforcement Learning (Page
1485)
Matteo Bettini (University of Cambridge)
Ajay Shankar (University of Cambridge)
Amanda Prorok (University of Cambridge) |
| (Return
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Session
4F: Innovative Applications
Efficient
Interactive Recommendation via Huffman Tree-based Policy Learning (Page
1495)
Longxiang Shi (Zhejiang University City College)
Zilin Zhang (Zhejiang University)
Shoujin Wang (University of Technology Sydney)
Binbin Zhou (Zhejiang University City College)
Minghui Wu (Zhejiang University City College)
Cheng Yang (Zhejiang University City College)
Shijian Li (Zhejiang University)
HOPE:
Human-Centric Off-Policy Evaluation for E-Learning and Healthcare (Page
1504)
Ge Gao (North Carolina State University)
Song Ju (North Carolina State University)
Markel Sanz Ausin (North Carolina State University)
Min Chi (North Carolina State University)
ShelfHelp:
Empowering Humans to Perform Vision-Independent Manipulation Tasks with
a Socially Assistive Robotic Cane (Page
1514)
Shivendra Agrawal (University of Colorado Boulder)
Suresh Nayak (University of Colorado Boulder)
Ashutosh Naik (University of Colorado Boulder)
Bradley Hayes (University of Colorado Boulder)
Preference-Aware
Delivery Planning for Last-Mile Logistics (Page
1524)
Qian Shao (Singapore Management University)
Shih-Fen Cheng (Singapore Management University)
Multi-Agent
Reinforcement Learning with Safety Layer for Active Voltage Control (Page
1533)
Yufeng Shi (University of Science and Technology of China)
Mingxiao Feng (University of Science and Technology of China)
Minrui Wang (University of Science and Technology of China)
Wengang Zhou (University of Science and Technology of China)
Houqiang Li (University of Science and Technology of China)
Multi-agent
Signalless Intersection Management with Dynamic Platoon Formation (Page
1542)
Phuriwat Worrawichaipat (University of Southampton)
Enrico H. Gerding (University of Southampton)
Ioannis Kaparias (University of Southampton)
Sarvapali Ramchurn (University of Southampton)
SocialLight:
Distributed Cooperation Learning towards Network-Wide Traffic Signal Control (Page
1551)
Harsh Goel (University of Pennsylvania)
Yifeng Zhang (National University of Singapore)
Mehul Damani (Massachusetts Institute of Technology)
Guillaume Sartoretti (National University of Singapore)
Model-Based
Reinforcement Learning for Auto-bidding in Display Advertising (Page
1560)
Shuang Chen (Ant Group)
Qisen Xu (Ant Group)
Liang Zhang (Ant Group)
Yongbo Jin (Ant Group)
Wenhao Li (The Chinese University of Hong Kong)
Linjian Mo (Ant Group) |
| (Return
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Session
5A: Multiagent Reinforcement Learning III
Learning
Inter-Agent Synergies in Asymmetric Multiagent Systems (Page
1569)
Gaurav Dixit (Oregon State University)
Kagan Tumer (Oregon State University)
Asymptotic
Convergence and Performance of Multi-Agent Q-learning Dynamics (Page
1578)
Aamal Abbas Hussain (Imperial College London)
Francesco Belardinelli (Imperial College London)
Georgios Piliouras (Singapore University of Technology and Design)
Model-based
Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning (Page
1587)
Wenli Xiao (The Chinese University of Hong Kong, Shenzhen)
Yiwei Lyu (Carnegie Mellon University)
John Dolan (Carnegie Mellon University)
Toward
Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement
Learning (Page 1597)
Jihwan Oh (Korea Military Academy)
Joonkee Kim (KAIST)
Minchan Jeong (KAIST)
Se-Young Yun (KAIST)
Counterexample-Guided
Policy Refinement in Multi-Agent Reinforcement Learning (Page
1606)
Briti Gangopadhyay (IIT Kharagpur)
Pallab Dasgupta (IIT Kharagpur)
Soumyajit Dey (IIT Kharagpur)
Prioritized
Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning (Page
1615)
Yang Yu (University of Chinese Academy of Sciences & Institute of Automation,
Chinese Academy of Sciences)
Qiyue Yin (University of Chinese Academy of Sciences & Institute of
Automation, Chinese Academy of Sciences)
Junge Zhang (University of Chinese Academy of Sciences & Institute
of Automation, Chinese Academy of Sciences)
Kaiqi Huang (University of Chinese Academy of Sciences & Institute
of Automation, Chinese Academy of Sciences)
M3:
Modularization for Multi-task and Multi-agent Offline Pre-training (Page
1624)
Linghui Meng (Institute of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Jingqing Ruan (Institute of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Xuantang Xiong (Institute of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Xiyun Li (Institute of Automation, Chinese Academy of Sciences & University
of Chinese Academy of Sciences)
Xi Zhang (Institute of Automation, Chinese Academy of Sciences)
Dengpeng Xing (Institute of Automation, Chinese Academy of Sciences
& University of Chinese Academy of Sciences)
Bo Xu (Institute of Automation, Chinese Academy of Sciences & University
of Chinese Academy of Sciences) |
| (Return
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Session
5B: Graph Neural Networks + Transformers
User
Device Interaction Prediction via Relational Gated Graph Attention Network
and Intent-aware Encoder (Page
1634)
Jingyu Xiao (Tsinghua Shenzhen International Graduate School & Peng
Cheng Laboratory)
Qingsong Zou (Tsinghua Shenzhen International Graduate School & Peng
Cheng Laboratory)
Qing Li (Peng Cheng Laboratory)
Dan Zhao (Peng Cheng Laboratory)
Kang Li (Jilin University)
Wenxin Tang (Jilin University)
Runjie Zhou (Shandong University)
Yong Jiang (Tsinghua Shenzhen International Graduate School & Peng
Cheng Laboratory)
Inferring
Player Location in Sports Matches: Multi-Agent Spatial Imputation from
Limited Observations (Page
1643)
Gregory Everett (University of Southampton)
Ryan J. Beal (University of Southampton)
Tim Matthews (University of Southampton)
Joseph Early (University of Southampton)
Timothy J. Norman (University of Southampton)
Sarvapali D. Ramchurn (University of Southampton)
Learning
Graph-Enhanced Commander-Executor for Multi-Agent Navigation (Page
1652)
Xinyi Yang (Tsinghua University)
Shiyu Huang (4Paradigm Inc.)
Yiwen Sun (Fudan University)
Yuxiang Yang (Tsinghua University)
Chao Yu (Tsinghua University)
Wei-Wei Tu (4Paradigm Inc.)
Huazhong Yang (Tsinghua University)
Yu Wang (Tsinghua University)
Permutation-Invariant
Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning (Page
1661)
Ryan Kortvelesy (University of Cambridge)
Steven Morad (University of Cambridge)
Amanda Prorok (University of Cambridge)
Infomaxformer:
Maximum Entropy Transformer for Long Time-Series Forecasting Problem (Page
1670)
Peiwang Tang (University of Science and Technology of China & Jiaxing
University)
Xianchao Zhang (Jiaxing University)
TransfQMix:
Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement
Learning Problems (Page
1679)
Matteo Gallici (Universitat Politčcnica de Catalunya)
Mario Martin (Universitat Politčcnica de Catalunya)
Ivan Masmitja (Institut de Cičncies del Mar (ICM), CSIC)
Intelligent
Onboard Routing in Stochastic Dynamic Environments using Transformers (Page
1688)
Rohit Chowdhury (Indian Institute of Science, Bangalore)
Raswanth Murugan (Indian Institute of Technology, Palakkad)
Deepak Subramani (Indian Institute of Science, Bangalore) |
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Session
5C: Voting I
Characterizations
of Sequential Valuation Rules (Page
1697)
Chris Dong (Technical University of Munich)
Patrick Lederer (Technical University of Munich)
Collecting,
Classifying, Analyzing, and Using Real-World Ranking Data (Page
1706)
Niclas Boehmer (Technische Universität Berlin)
Nathan Schaar (Technische Universität Berlin)
Margin
of Victory for Weighted Tournament Solutions (Page
1716)
Michelle Döring (Hasso-Plattner-Institute)
Jannik Peters (Technische Universität Berlin)
Bribery
Can Get Harder in Structured Multiwinner Approval Election (Page
1725)
Bartosz Kusek (AGH University of Science and Technology)
Robert Bredereck (Humboldt-Universität zu Berlin & TU Clausthal)
Piotr Faliszewski (AGH University of Science and Technology)
Andrzej Kaczmarczyk (AGH University of Science and Technology)
Duan Knop (Czech Technical University in Prague)
Strategyproof
Social Decision Schemes on Super Condorcet Domains (Page
1734)
Felix Brandt (Technical University of Munich)
Patrick Lederer (Technical University of Munich)
Sascha Tausch (Technical University of Munich)
Separating
and Collapsing Electoral Control Types (Page
1743)
Benjamin Carleton (Cornell University)
Michael C. Chavrimootoo (University of Rochester)
Lane A. Hemaspaandra (University of Rochester)
David E. Narváez (Virginia Tech)
Conor Taliancich (Property Matrix)
Henry B. Welles (University of Rochester)
The
Distortion of Approval Voting with Runoff (Page
1752)
Soroush Ebadian (University of Toronto)
Mohamad Latifian (University of Toronto)
Nisarg Shah (University of Toronto) |
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Session
5D: Blue Sky
Models
of Anxiety for Agent Deliberation: The Benefits of Anxiety-Sensitive Agents (Page
1761)
Arvid Horned (Umeĺ University)
Loďs Vanhée (Umeĺ University)
Social
Choice Around Decentralized Autonomous Organizations: On the Computational
Social Choice of Digital Communities (Page
1768)
Nimrod Talmon (Ben-Gurion University)
Value
Inference in Sociotechnical Systems (Page
1774)
Enrico Liscio (TU Delft)
Roger Lera-Leri (IIIA-CSIC)
Filippo Bistaffa (IIIA-CSIC)
Roel I.J. Dobbe (TU Delft)
Catholijn M. Jonker (TU Delft & Leiden University)
Maite Lopez-Sanchez (University of Barcelona)
Juan A. Rodriguez-Aguilar (IIIA-CSIC)
Pradeep K. Murukannaiah (TU Delft)
Presenting
Multiagent Challenges in Team Sports Analytics (Page
1781)
David Radke (Chicago Blackhawks)
Alexi Orchard (University of Waterloo)
Communication
Meaning: Foundations and Directions for Systems Research (Page
1786)
Amit K. Chopra (Lancaster University)
Samuel H. Christie V (North Carolina State University)
The
Rule-Tool-User Nexus in Digital Collective Decisions (Page
1792)
Zoi Terzopoulou (GATE, University of Lyon - Saint-Etienne)
Marijn A. Keijzer (Institute for Advanced Study in Toulouse)
Gogulapati Sreedurga (Indian Institute of Science)
Jobst Heitzig (Potsdam Institute for Climate Impact Research)
Epistemic
Side Effects: An AI Safety Problem (Page
1797)
Toryn Q. Klassen (University of Toronto & Vector Institute)
Parand Alizadeh Alamdari (University of Toronto & Vector Institute)
Sheila A. McIlraith (University of Toronto & Vector Institute)
Citizen-Centric
Multiagent Systems (Page
1802)
Sebastian Stein (University of Southampton)
Vahid Yazdanpanah (University of Southampton) |
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Session
5E: Adversarial Learning + Social Networks + Causal Graphs
FedMM:
A Communication Efficient Solver for Federated Adversarial Domain Adaptation (Page
1808)
Yan Shen (University at Buffalo)
Jian Du (TikTok Inc.)
Han Zhao (University of Illinois Urbana Champaign)
Zhanghexuan Ji (University at Buffalo)
Chunwei Ma (University at Buffalo)
Mingchen Gao (University at Buffalo)
Adversarial
Link Prediction in Spatial Networks (Page
1817)
Michał Tomasz Godziszewski (University of Warsaw & IDEAS NCBR)
Yevgeniy Vorobeychik (Washington University in St. Louis)
Tomasz Michalak (University of Warsaw & IDEAS NCBR)
Distributed
Mechanism Design in Social Networks (Page
1826)
Haoxin Liu (ShanghaiTech University)
Yao Zhang (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)
Implicit
Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies
for Training-Time Attacks (Page
1835)
Mohammad Mohammadi (Max Planck Institute for Software Systems)
Jonathan Nöther (Max Planck Institute for Software Systems)
Debmalya Mandal (Max Planck Institute for Software Systems)
Adish Singla (Max Planck Institute for Software Systems)
Goran Radanovic (Max Planck Institute for Software Systems)
How
to Turn an MAS into a Graphical Causal Model (Page
1845)
H. Van Dyke Parunak (Parallax Advanced Research) |
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Session
5F: Simulations
Differentiable
Agent-based Epidemiology (Page
1848)
Ayush Chopra (Massachusetts Institute of Technology)
Alexander Rodríguez (Georgia Institute of Technology)
Jayakumar Subramanian (Adobe Media and Data Science Research)
Arnau Quera-Bofarull (University of Oxford)
Balaji Krishnamurthy (Adobe Media and Data Science Research)
B. Aditya Prakash (Georgia Institute of Technology)
Ramesh Raskar (Massachusetts Institute of Technology)
Social
Distancing via Social Scheduling (Page
1858)
Deepesh Kumar Lall (Oracle India)
Garima Shakya (Kyushu University)
Swaprava Nath (Indian Institute of Technology Bombay)
Don't
Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation (Page
1867)
Arnau Quera-Bofarull (University of Oxford)
Ayush Chopra (Massachusetts Institute of Technology)
Joseph Aylett-Bullock (United Nations Global Pulse)
Carolina Cuesta-Lazaro (Massachusetts Institute of Technology)
Anisoara Calinescu (University of Oxford)
Ramesh Raskar (Massachusetts Institute of Technology)
Michael Wooldridge (University of Oxford)
Markov
Aggregation for Speeding Up Agent-Based Movement Simulations (Page
1877)
Bernhard C. Geiger (Know-Center GmbH)
Alireza Jahani (Brunel University London)
Hussain Hussain (Graz University of Technology)
Derek Groen (Brunel University London)
Agent-Based
Modeling of Human Decision-makers Under Uncertain Information During Supply
Chain Shortages (Page
1886)
Nutchanon Yongsatianchot (Northeastern University)
Noah Chicoine (Northeastern University)
Jacqueline Griffin (Northeastern University)
Ozlem Ergun (Northeastern University)
Stacy Marsella (Northeastern University)
Simulating
Panic Amplification in Crowds via Density-Emotion Interaction (Page
1895)
Erik van Haeringen (Vrije Universiteit)
Charlotte Gerritsen (Vrije Universiteit)
Modelling
Agent Decision Making in Agent-based Simulation - Analysis Using an Economic
Technology Uptake Model (Page
1903)
Franziska Klügl (Örebro University)
Hildegunn Kyvik Nordĺs (Örebro University)
Emotion
Contagion in Agent-based Simulations of Crowds: A Systematic Review (Page
1912)
Erik van Haeringen (Vrije Universiteit Amsterdam)
Charlotte Gerritsen (Vrije Universiteit Amsterdam)
Koen Hindriks (Vrije Universiteit Amsterdam) |
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Session
6A: Deep Learning
Worst-Case
Adaptive Submodular Cover (Page
1915)
Jing Yuan (University of North Texas)
Shaojie Tang (The University of Texas at Dallas)
Minimax
Strikes Back (Page
1923)
Quentin Cohen-Solal (LAMSADE Université Paris Dauphine PSL CNRS)
Tristan Cazenave (LAMSADE Université Paris Dauphine PSL CNRS)
Automatic
Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning (Page
1932)
Bram Grooten (Eindhoven University of Technology)
Ghada Sokar (Eindhoven University of Technology)
Shibhansh Dohare (University of Alberta)
Elena Mocanu (University of Twente)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence
Institute (Amii))
Mykola Pechenizkiy (Eindhoven University of Technology)
Decebal Constantin Mocanu (University of Luxembourg & University of
Twente)
Parameter
Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement
Learning (Page 1942)
Woojun Kim (Korea Advanced Institute of Science and Technology)
Youngchul Sung (Korea Advanced Institute of Science and Technology)
Learning
Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning (Page
1951)
Junqi Qian (Shanghai Jiao Tong University)
Paul Weng (Shanghai Jiao Tong University)
Chenmien Tan (University of Nottingham Ningbo China)
A
Deep Reinforcement Learning Approach for Online Parcel Assignment (Page
1961)
Hao Zeng (Cainiao Network)
Qiong Wu (Cainiao Network)
Kunpeng Han (Cainiao Network)
Junying He (Cainiao Network)
Haoyuan Hu (Cainiao Network)
CoRaL:
Continual Representation Learning for Overcoming Catastrophic Forgetting (Page
1969)
Mohammad Samin Yasar (University of Virginia)
Tariq Iqbal (University of Virginia) |
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Session
6B: Multi-objective Planning and Learning
Revealed
Multi-Objective Utility Aggregation in Human Driving (Page
1979)
Atrisha Sarkar (University of Toronto)
Kate Larson (University of Waterloo)
Krzysztof Czarnecki (University of Waterloo)
A
Brief Guide to Multi-Objective Reinforcement Learning and Planning (Page
1988)
Conor F. Hayes (University of Galway)
Roxana Rădulescu (Vrije Universiteit Brussel)
Eugenio Bargiacchi (Vrije Universiteit Brussel)
Johan Källström (Linköping University)
Matthew Macfarlane (University of Amsterdam)
Mathieu Reymond (Vrije Universiteit Brussel)
Timothy Verstraeten (Vrije Universiteit Brussel)
Luisa M. Zintgraf (University of Oxford)
Richard Dazeley (Deakin University)
Fredrik Heintz (Linköping University)
Enda Howley (University of Galway)
Athirai A. Irissappane (Amazon)
Patrick Mannion (University of Galway)
Ann Nowé (Vrije Universiteit Brussel)
Gabriel Ramos (Universidade of Vale do Rio dos Sinos)
Marcello Restelli (Politecnico di Milano)
Peter Vamplew (Federation University)
Diederik M. Roijers (City of Amsterdam)
Welfare
and Fairness in Multi-objective Reinforcement Learning (Page
1991)
Ziming Fan (Duke University)
Nianli Peng (Duke University)
Muhang Tian (Duke University)
Brandon Fain (Duke University)
Preference-Based
Multi-Objective Multi-Agent Path Finding (Page
2000)
Florence Ho (National Institute of Advanced Industrial Science and
Technology (AIST))
Shinji Nakadai (NEC Corporation & National Institute of Advanced Industrial
Science and Technology (AIST))
Sample-Efficient
Multi-Objective Learning via Generalized Policy Improvement Prioritization (Page
2003)
Lucas N. Alegre (Federal University of Rio Grande do Sul & Vrije Universiteit
Brussel)
Ana L. C. Bazzan (Federal University of Rio Grande do Sul)
Diederik M. Roijers (Vrije Universiteit Brussel)
Ann Nowé (Vrije Universiteit Brussel)
Bruno C. da Silva (University of Massachusetts)
MADDM:
Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility (Page
2013)
Zhaori Guo (University of Southampton)
Timothy J. Norman (University of Southampton)
Enrico H. Gerding (University of Southampton) |
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Session
6C: Voting II
On
the Complexity of the Two-Stage Majority Rule (Page
2022)
Yongjie Yang (Saarland University)
Fairness
in Participatory Budgeting via Equality of Resources (Page
2031)
Jan Maly (University of Amsterdam)
Simon Rey (University of Amsterdam)
Ulle Endriss (University of Amsterdam)
Martin Lackner (TU Wien)
Free-Riding
in Multi-Issue Decisions (Page
2040)
Martin Lackner (TU Wien)
Jan Maly (University of Amsterdam)
Oliviero Nardi (TU Wien)
k-Prize
Weighted Voting Game (Page
2049)
Wei-Chen Lee (University of Oxford)
David Hyland (University of Oxford)
Alessandro Abate (University of Oxford)
Edith Elkind (University of Oxford)
Jiarui Gan (University of Oxford)
Julian Gutierrez (Monash University)
Paul Harrenstein (University of Oxford)
Michael Wooldridge (University of Oxford)
Computing
the Best Policy that Survives a Vote (Page
2058)
Andrei Constantinescu (ETH Zurich)
Roger Wattenhofer (ETH Zurich)
Voting
by Axioms (Page 2067)
Marie Christin Schmidtlein (University of Amsterdam)
Ulle Endriss (University of Amsterdam)
A
Hotelling-Downs Game for Strategic Candidacy with Binary Issues (Page
2076)
Javier Maass (Universidad de Chile)
Vincent Mousseau (CentraleSupélec, Université Paris-Saclay)
Anaëlle Wilczynski (CentraleSupélec, Université Paris-Saclay)
Voting
with Limited Energy: A Study of Plurality and Borda (Page
2085)
Zoi Terzopoulou (GATE, University of Lyon - Saint-Etienne)
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Session
6D: Mechanism Design
Non-Obvious
Manipulability for Single-Parameter Agents and Bilateral Trade (Page
2107)
Thomas Archbold (King's College London)
Bart de Keijzer (King's College London)
Carmine Ventre (King's College London)
Mechanism
Design for Improving Accessibility to Public Facilities (Page
2116)
Hau Chan (University of Nebraska-Lincoln)
Chenhao Wang (Beijing Normal University-Zhuhai)
Explicit
Payments for Obviously Strategyproof Mechanisms (Page
2125)
Diodato Ferraioli (Universitŕ degli Studi di Salerno)
Carmine Ventre (King's College London)
Bilevel
Entropy based Mechanism Design for Balancing Meta in Video Games (Page
2134)
Sumedh Pendurkar (Texas A&M University)
Chris Chow (Niantic Inc.)
Luo Jie (Niantic Inc.)
Guni Sharon (Texas A&M University)
IQ-Flow:
Mechanism Design for Inducing Cooperative Behavior to Self-Interested
Agents in Sequential Social Dilemmas (Page
2143)
Bengisu Guresti (Istanbul Technical University)
Abdullah Vanlioglu (Istanbul Technical University)
Nazim Kemal Ure (Istanbul Technical University)
Settling
the Distortion of Distributed Facility Location (Page
2152)
Aris Filos-Ratsikas (University of Edinburgh)
Panagiotis Kanellopoulos (University of Essex)
Alexandros A. Voudouris (University of Essex)
Rongsen Zhang (University of Essex)
Cost
Sharing under Private Valuation and Connection Control (Page
2161)
Tianyi Zhang (ShanghaiTech University, Shanghai Institute of Microsystem
and Information Technology, Chinese Academy of Sciences, & China University
of Chinese Academy of Sciences)
Junyu Zhang (ShanghaiTech University)
Sizhe Gu (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)
Facility
Location Games with Thresholds (Page
2170)
Houyu Zhou (City University of Hong Kong)
Guochuan Zhang (Zhejiang University)
Lili Mei (Hangzhou Dianzi University)
Minming Li (City University of Hong Kong) |
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Session
6E: Social Networks
Random
Majority Opinion Diffusion: Stabilization Time, Absorbing States, and
Influential Nodes (Page
2179)
Ahad N. Zehmakan (The Australian National University)
Axiomatic
Analysis of Medial Centrality Measures (Page
2188)
Wiktoria Kosny (University of Warsaw)
Oskar Skibski (University of Warsaw)
Online
Influence Maximization under Decreasing Cascade Model (Page
2197)
Fang Kong (Shanghai Jiao Tong University)
Jize Xie (Shanghai Jiao Tong University)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
Tao Yao (Alibaba Inc.)
Shuai Li (Shanghai Jiao Tong University)
Node
Conversion Optimization in Multi-hop Influence Networks (Page
2205)
Jie Zhang (University of Bath)
Yuezhou Lv (Impeccable Tech Pte. Ltd.)
Zihe Wang (Renmin University of China)
Decentralized
Core-periphery Structure in Social Networks Accelerates Cultural Innovation
in Agent-based Modeling (Page
2213)
Jesse Milzman (DEVCOM Army Research Laboratory)
Cody Moser (University of California Merced)
Being
an Influencer is Hard: The Complexity of Influence Maximization in Temporal
Graphs with a Fixed Source (Page
2222)
Argyrios Deligkas (Royal Holloway, University of London)
Eduard Eiben (Royal Holloway, University of London)
Tiger-Lily Goldsmith (Royal Holloway, University of London)
George Skretas (Hasso Plattner Institute)
Enabling
Imitation-Based Cooperation in Dynamic Social Networks (Page
2231)
Jacques Bara (University of Warwick)
Paolo Turrini (University of Warwick)
Giulia Andrighetto (National Research Council)
The
Grapevine Web: Analysing the Spread of False Information in Social Networks
with Corrupted Sources (Page
2234)
Jacques Bara (University of Warwick)
Charlie Pilgrim (University of Warwick)
Paolo Turrini (University of Warwick)
Stanislav Zhydkov (University of Warwick) |
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Session
6F: Norms
The
Importance of Credo in Multiagent Learning (Page
2243)
David Radke (University of Waterloo)
Kate Larson (University of Waterloo)
Tim Brecht (University of Waterloo)
Contextual
Integrity for Argumentation-based Privacy Reasoning (Page
2253)
Gideon Ogunniye (University College London)
Nadin Kökciyan (University of Edinburgh)
Predicting
Privacy Preferences for Smart Devices as Norms (Page
2262)
Marc Serramia (King's College London)
William Seymour (King's College London)
Natalia Criado (Universitat Politčcnica de Valčncia)
Michael Luck (King's College London)
Agent-directed
Runtime Norm Synthesis (Page
2271)
Andreasa Morris-Martin (University of Bath)
Marina De Vos (University of Bath)
Julian Padget (University of Bath)
Oliver Ray (University of Bristol)
Emergence
of Norms in Interactions with Complex Rewards (Page
2280)
Dhaminda B. Abeywickrama (University of Bristol)
Nathan Griffiths (University of Warwick)
Zhou Xu (Jaguar Land Rover)
Alex Mouzakitis (Jaguar Land Rover) |
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Poster
Session I
Evaluating
a Mechanism for Explaining BDI Agent Behaviour (Page
2283)
Michael Winikoff (Victoria University of Wellington)
Galina Sidorenko (Halmstad University)
Learning
Manner of Execution from Partial Corrections (Page
2286)
Mattias Appelgren (University of Edinburgh)
Alex Lascarides (University of Edinburgh)
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What
Do You Care About: Inferring Values from Emotions (Page
2289)
Jieting Luo (University of Bern)
Mehdi Dastani (Utrecht University)
Thomas Studer (University of Bern)
Beishui Liao (Zhejiang University)
'Why
didn't you allocate this task to them?' Negotiation-Aware Explicable
Task Allocation and Contrastive Explanation Generation (Page
2292)
Zahra Zahedi (Arizona State University)
Sailik Sengupta (AWS AI Labs)
Subbarao Kambhampati (Arizona State University)
Explaining
Agent Preferences and Behavior: Integrating Reward Decomposition and Contrastive
Highlights (Page
2295)
Yael Septon (Technion)
Yotam Amitai (Technion)
Ofra Amir (Technion)
Explanation
Styles for Trustworthy Autonomous Systems (Page
2298)
David A. Robb (Heriot-Watt University)
Xingkun Liu (Heriot-Watt University)
Helen Hastie (Heriot-Watt University)
Modeling
the Interpretation of Animations to Help Improve Emotional Expression (Page
2301)
Taíssa Ribeiro (INESC-ID & Instituto Superior Técnico)
Ricardo Rodrigues (INESC-ID & Instituto Superior Técnico)
Carlos Martinho (INESC-ID & Instituto Superior Técnico)
Artificial
Prediction Markets Present a Novel Opportunity for Human-AI Collaboration (Page
2304)
Tatiana Chakravorti (The Pennsylvania State University)
Vaibhav Singh (The Pennsylvania State University)
Sarah Rajtmajer (The Pennsylvania State University)
Michael McLaughlin (The Pennsylvania State University)
Robert Fraleigh (The Pennsylvania State University)
Christopher Griffin (The Pennsylvania State University)
Anthony Kwasnica (The Pennsylvania State University)
David Pennock (Rutgers University)
C. Lee Giles (The Pennsylvania State University)
Causal
Explanations for Sequential Decision Making Under Uncertainty (Page
2307)
Samer B. Nashed (University of Massachusetts)
Saaduddin Mahmud (University of Massachusetts)
Claudia V. Goldman (General Motors)
Shlomo Zilberstein (University of Massachusetts, Amherst)
Hierarchical
Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization (Page
2310)
Haozhe Ma (National University of Singapore)
Thanh Vinh Vo (National University of Singapore)
Tze-Yun Leong (National University of Singapore)
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Context-aware
Agents based on Psychological Archetypes for Teamwork (Page
2313)
Anupama Arukgoda (University of New South Wales)
Erandi Lakshika (University of New South Wales)
Michael Barlow (University of New South Wales)
Kasun Gunawardana (University of Colombo School of Computing)
Personalized
Agent Explanations for Human-Agent Teamwork: Adapting Explanations to
User Trust, Workload, and Performance (Page
2316)
Ruben S. Verhagen (Delft University of Technology)
Mark A. Neerincx (Delft University of Technology)
Can Parlar (Delft University of Technology)
Marin Vogel (Delft University of Technology)
Myrthe L. Tielman (Delft University of Technology)
A
Teachable Agent to Enhance Elderly's Ikigai (Page
2319)
Ping Chen (Nanyang Technological University)
Xinjia Yu (Nanyang Technological University)
Su Fang Lim (Nanyang Technological University)
Zhiqi Shen (Nanyang Technological University)
Improving
Human-Robot Team Performance with Proactivity and Shared Mental Models (Page
2322)
Gwendolyn Edgar (Tufts University)
Matthew McWilliams (Tufts University)
Matthias Scheutz (Tufts University)
Towards
Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning
Models (Page 2325)
Khaing Phyo Wai (Singapore Management University)
Minghong Geng (Singapore Management University)
Budhitama Subagdja (Singapore Management University)
Shubham Pateria (Singapore Management University)
Ah-Hwee Tan (Singapore Management University)
Learning
Constraints From Human Stop-Feedback in Reinforcement Learning (Page
2328)
Silvia Poletti (University of Padua)
Alberto Testolin (University of Padua)
Sebastian Tschiatschek (University of Vienna)
Goal
Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI (Page
2331)
Malek Mechergui (Colorado State University)
Sarath Sreedharan (Colorado State University)
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Effectiveness
of Teamwork-Level Interventions through Decision-Theoretic Reasoning in
a Minecraft Search-and-Rescue Task (Page
2334)
David V. Pynadath (University of Southern California)
Nikolos Gurney (University of Southern California)
Sarah Kenny (University of Southern California)
Rajay Kumar (University of Southern California)
Stacy C. Marsella (Northeastern University)
Haley Matuszak (Northeastern University)
Hala Mostafa (Bitsight)
Pedro Sequeira (SRI)
Volkan Ustun (University of Southern California)
Peggy Wu (RTRC)
Hierarchical
Reinforcement Learning for Ad Hoc Teaming (Page
2337)
Stéphane Aroca-Ouellette (University of Colorado Boulder)
Miguel Aroca-Ouellette (Independent Researcher)
Upasana Biswas (Arizona State University)
Katharina Kann (University of Colorado Boulder)
Alessandro Roncone (University of Colorado Boulder)
Asynchronous
Communication Aware Multi-Agent Task Allocation (Page
2340)
Ben Rachmut (Ben Gurion University of the Negev)
Sofia Amador Nelke (Holon Institute of Technology)
Roie Zivan (Ben Gurion University of the Negev)
Towards
Robust Contrastive Explanations for Human-Neural Multi-agent Systems (Page
2343)
Francesco Leofante (Imperial College London)
Alessio Lomuscio (Imperial College London)
Visual
Explanations for Defence in Abstract Argumentation (Page
2346)
Sylvie Doutre (IRIT, Toulouse 1 University)
Théo Duchatelle (IRIT, Toulouse 3 University)
Marie-Christine Lagasquie-Schiex (IRIT, Toulouse 3 University)
Minimising
Task Tardiness for Multi-Agent Pickup and Delivery (Page
2349)
Saravanan Ramanathan (Nanyang Technological University)
Yihao Liu (Nanyang Technological University)
Xueyan Tang (Nanyang Technological University)
Wentong Cai (Nanyang Technological University)
Jingning Li (NCS Pte Ltd)
Probabilistic
Deduction as a Probabilistic Extension of Assumption-based Argumentation (Page
2352)
Xiuyi Fan (Nanyang Technological University)
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Bayes-Adaptive
Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable,
Multi-Agent Environments (Page
2355)
Jonathon Schwartz (The Australian National University)
Hanna Kurniawati (The Australian National University)
Blame
Attribution for Multi-Agent Pathfinding Execution Failures (Page
2358)
Avraham Natan (Ben-Gurion University of the Negev)
Roni Stern (Ben-Gurion University of the Negev)
Meir Kalech (Ben-Gurion University of the Negev)
A
Semantic Approach to Decidability in Epistemic Planning (Page
2361)
Alessandro Burigana (Free University of Bozen-Bolzano)
Paolo Felli (University of Bologna)
Marco Montali (Free University of Bozen-Bolzano)
Nicolas Troquard (Free University of Bozen-Bolzano)
Forward-PECVaR
Algorithm: Exact Evaluation for CVaR SSPs (Page
2364)
Willy Arthur Silva Reis (University of Săo Paulo)
Denis Benevolo Pais (University of Săo Paulo)
Valdinei Freire (University of Săo Paulo)
Karina Valdivia Delgado (University of Săo Paulo)
Explainable
Ensemble Classification Model based on Argumentation (Page
2367)
Nadia Abchiche-Mimouni (IBISC, Univ Evry, Université Paris-Saclay)
Leila Amgoud (CNRS -- IRIT)
Farida Zehraoui (IBISC, Univ Evry, Université Paris-Saclay)
Updating
Action Descriptions and Plans for Cognitive Agents (Page
2370)
Peter Stringer (University of Manchester)
Rafael C. Cardoso (University of Aberdeen)
Clare Dixon (University of Manchester)
Michael Fisher (University of Manchester)
Louise A. Dennis (University of Manchester)
Argument-based
Explanation Functions (Page
2373)
Leila Amgoud (CNRS -- IRIT)
Philippe Muller (Toulouse University -- IRIT)
Henri Trenquier (University of Toulouse - ANITI)
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A
Formal Framework for Deceptive Topic Planning in Information-Seeking Dialogues (Page
2376)
Andreas Brännström (Umeĺ University)
Virginia Dignum (Umeĺ University)
Juan Carlos Nieves (Umeĺ University)
Memoryless
Adversaries in Imperfect Information Games (Page
2379)
Dhananjay Raju (The University of Texas at Austin)
Georgios Bakirtzis (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)
Bounded
and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments (Page
2382)
Mehran Hosseini (Imperial College London)
Alessio Lomuscio (Imperial College London)
Methods
and Mechanisms for Interactive Novelty Handling in Adversarial Environments (Page
2385)
Tung Thai (Tufts University)
Mudit Verma (Arizona State University)
Utkarsh Soni (Arizona State University)
Sriram Gopalakrishnan (Arizona State University)
Ming Shen (Arizona State University)
Mayank Garg (Arizona State University)
Ayush Kalani (Arizona State University)
Nakul Vaidya (Arizona State University)
Neeraj Varshney (Arizona State University)
Chitta Baral (Arizona State University)
Subbarao Kambhampati (Arizona State University)
Jivko Sinapov (Tufts University)
Matthias Scheutz (Tufts University)
One-Shot
Learning from a Demonstration with Hierarchical Latent Language (Page
2388)
Nathaniel Weir (Johns Hopkins University)
Xingdi Yuan (Microsoft Research)
Marc-Alexandre Côté (Microsoft Research)
Matthew Hausknecht (Microsoft Research)
Romain Laroche (Microsoft Research)
Ida Momennejad (Microsoft Research)
Harm Van Seijen (Microsoft Research)
Benjamin Van Durme (Johns Hopkins University & Microsoft Semantic Machines)
Emergent
Compositional Concept Communication through Mutual Information in Multi-Agent
Teams (Page 2391)
Seth Karten (Carnegie Mellon University)
Siva Kailas (Carnegie Mellon University)
Katia Sycara (Carnegie Mellon University)
Reasoning
about Uncertainty in AgentSpeak using Dynamic Epistemic Logic (Page
2394)
Michael Vezina (Carleton University)
François Schwarzentruber (Univ Rennes)
Babak Esfandiari (Carleton University)
Sandra Morley (Individual Researcher)
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Towards
Optimal and Scalable Evacuation Planning Using Data-driven Agent Based
Models (Page 2397)
Kazi Ashik Islam (University of Virginia)
Da Qi Chen (University of Virginia)
Madhav Marathe (University of Virginia)
Henning Mortveit (University of Virginia)
Samarth Swarup (University of Virginia)
Anil Vullikanti (University of Virginia)
Intention
Progression with Maintenance Goals (Page
2400)
Di Wu (Zhejiang University of Technology)
Yuan Yao (University of Nottingham)
Natasha Alechina (Utrecht University)
Brian Logan (Utrecht University & University of Aberdeen)
John Thangarajah (RMIT University)
Safety
Guarantees in Multi-agent Learning via Trapping Regions (Page
2403)
Aleksander Czechowski (Delft University of Technology)
Frans A. Oliehoek (Delft University of Technology)
Multi-Team
Fitness Critics For Robust Teaming (Page
2406)
Joshua Cook (Oregon State University)
Tristan Scheiner (Rose-Hulman Institute of Technology)
Kagan Tumer (Oregon State University)
Multi-Agent
Deep Reinforcement Learning for High-Frequency Multi-Market Making (Page
2409)
Pankaj Kumar (Copenhagen Business School)
TA-Explore:
Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning (Page
2412)
Ali Beikmohammadi (Stockholm University)
Sindri Magnússon (Stockholm University)
Which
way is 'right'?: Uncovering limitations of Vision-and-Language Navigation
Models (Page 2415)
Meera Hahn (Google)
Amit Raj (Google)
James M. Rehg (Georgia Institute of Technology)
Learning
Individual Difference Rewards in Multi-Agent Reinforcement Learning (Page
2418)
Chen Yang (University of Chinese Academy of Sciences & Institute of
Automation, Chinese Academy of Sciences)
Guangkai Yang (University of Chinese Academy of Sciences & Institute
of Automation, Chinese Academy of Sciences)
Junge Zhang (University of Chinese Academy of Sciences & Institute
of Automation, Chinese Academy of Sciences)
|
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TiLD:
Third-person Imitation Learning by Estimating Domain Cognitive Differences
of Visual Demonstrations (Page
2421)
Zixuan Chen (Nanjing University)
Wenbin Li (Nanjing University)
Yang Gao (Nanjing University)
Yiyu Chen (Nanjing University)
Off-Beat
Multi-Agent Reinforcement Learning (Page
2424)
Wei Qiu (Nanyang Technological University)
Weixun Wang (Tianjin University)
Rundong Wang (Nanyang Technological University)
Bo An (Nanyang Technological University)
Yujing Hu (NetEase Fuxi AI Lab)
Svetlana Obraztsova (Nanyang Technological University)
Zinovi Rabinovich (Nanyang Technological University)
Jianye Hao (Tianjin University)
Yingfeng Chen (NetEase Fuxi AI Lab)
Changjie Fan (NetEase Fuxi AI Lab)
AJAR:
An Argumentation-based Judging Agents Framework for Ethical Reinforcement
Learning (Page 2427)
Benoît Alcaraz (University of Luxembourg)
Olivier Boissier (Mines Saint-Etienne, Univ Clermont Auvergne, CNRS,
UMR 6158 LIMOS, Institut Henri Fayol)
Rémy Chaput (Univ Lyon, UCBL, CNRS, INSA Lyon, LIRIS, UMR5205)
Christopher Leturc (Inria, Université Côte d'Azur, CNRS, I3S)
Never
Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement
Learning (Page 2430)
Pranav Khanna (Indian Institute of Technology)
Guy Tennenholtz (Technion)
Nadav Merlis (Technion)
Shie Mannor (Technion & NVIDIA)
Chen Tessler (NVIDIA)
Selectively
Sharing Experiences Improves Multi-Agent Reinforcement Learning (Page
2433)
Matthias Gerstgrasser (Harvard University)
Tom Danino (Technion - Israel Institute of Technology)
Sarah Keren (Technion - Israel Institute of Technology)
The
Challenge of Redundancy on Multi-agent Value Factorisation (Page
2436)
Siddarth Shandeep Singh (Instadeep Ltd)
Benjamin Rosman (The University of the Witwatersrand)
Robust
Ordinal Regression for Collaborative Preference Learning with Opinion
Synergies (Page 2439)
Hugo Gilbert (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Mohamed Ouaguenouni (Sorbonne Université, CNRS, LIP6)
Meltem Öztürk (Université Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Olivier Spanjaard (Sorbonne Université, CNRS, LIP6)
Off-the-Grid
MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning (Page
2442)
Claude Formanek (InstaDeep & University of Cape Town)
Asad Jeewa (University of KwaZulu-Natal)
Jonathan Shock (University of Cape Town, NiTheCS, & INRS Montreal)
Arnu Pretorius (InstaDeep)
|
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Search-Improved
Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation
Games (Page 2445)
Zun Li (DeepMind & University of Michigan)
Marc Lanctot (DeepMind)
Kevin R. McKee (DeepMind)
Luke Marris (DeepMind)
Ian Gemp (DeepMind)
Daniel Hennes (DeepMind)
Kate Larson (University of Waterloo & DeepMind)
Yoram Bachrach (DeepMind)
Michael P. Wellman (University of Michigan)
Paul Muller (DeepMind)
Grey-box
Adversarial Attack on Communication in Multi-agent Reinforcement Learning (Page
2448)
Xiao Ma (Nanjing University)
Wu-Jun Li (Nanjing University)
Reward-Machine-Guided,
Self-Paced Reinforcement Learning (Page
2451)
Cevahir Koprulu (The University of Texas at Austin)
Ufuk Topcu (The University of Texas at Austin)
Centralized
Cooperative Exploration Policy for Continuous Control Tasks (Page
2454)
Chao Li (Institute of Automation, Chinese Academy of Sciences)
Chen Gong (Institute of Automation, Chinese Academy of Sciences)
Qiang He (University of Tubingen)
Xinwen Hou (Institute of Automation, Chinese Academy of Sciences)
Yu Liu (Institute of Automation, Chinese Academy of Sciences)
Do
As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement
Learning (Page 2457)
Chaitanya Kharyal (Microsoft)
Tanmay Sinha (Microsoft Research)
Sai Krishna Gottipati (AI Redefined)
Fatemeh Abdollahi (University of Alberta)
Srijita Das (University of Alberta)
Matthew E. Taylor (University of Alberta)
PORTAL:
Automatic Curricula Generation for Multiagent Reinforcement Learning (Page
2460)
Jizhou Wu (Tianjin University)
Tianpei Yang (University of Alberta & Alberta Machine Intelligence
Institute)
Xiaotian Hao (Tianjin University)
Jianye Hao (Tianjin University)
Yan Zheng (Tianjin University)
Weixun Wang (Tianjin University)
Matthew E. Taylor (University of Alberta & Alberta Machine Intelligence
Institute)
AI-driven
Prices for Externalities and Sustainability in Production Markets (Page
2463)
Panayiotis Danassis (Harvard University)
Aris Filos-Ratsikas (University of Edinburgh)
Haipeng Chen (William & Mary)
Milind Tambe (Harvard University)
Boi Faltings (EPFL)
For
One and All: Individual and Group Fairness in the Allocation of Indivisible
Goods (Page 2466)
Jonathan Scarlett (National University of Singapore)
Nicholas Teh (University of Oxford)
Yair Zick (University of Massachusetts, Amherst)
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Matching
Algorithms under Diversity-Based Reservations (Page
2469)
Haris Aziz (UNSW Sydney)
Sean Morota Chu (UNSW Sydney)
Zhaohong Sun (Cyberagent Inc.)
Social
Mechanism Design: A Low-Level Introduction (Page
2472)
Ben Abramowitz (Tulane University)
Nicholas Mattei (Tulane University)
Online
2-stage Stable Matching (Page
2475)
Evripidis Bampis (Sorbonne Université, CNRS, LIP6)
Bruno Escoffier (Sorbonne Université, CNRS, LIP6 & Institut Universitaire
de France)
Paul Youssef (Université Grenoble Alpes, LIG)
Strategic
Play By Resource-Bounded Agents in Security Games (Page
2478)
Xinming Liu (Massachusetts Institute of Technology)
Joseph Y. Halpern (Cornell University)
Neural
Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology (Page
2481)
Zijian Shi (University of Bristol)
John Cartlidge (University of Bristol)
Regularization
for Strategy Exploration in Empirical Game-Theoretic Analysis (Page
2484)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)
A
Scalable Opponent Model Using Bayesian Learning for Automated Bilateral
Multi-Issue Negotiation (Page
2487)
Shengbo Chang (Tokyo University of Agriculture and Technology)
Katsuhide Fujita (Tokyo University of Agriculture and Technology) |
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Poster
Session II
Benchmarking
Robustness and Generalization in Multi-Agent Systems: A Case Study on
Neural MMO (Page
2490)
Yangkun Chen (Shenzhen International Graduate School, Tsinghua University
& Parametrix.ai.)
Joseph Suarez (Massachusetts Institute of Technology)
Junjie Zhang (Shenzhen International Graduate School, Tsinghua University
& Parametrix.ai.)
Chenghui Yu (Shenzhen International Graduate School, Tsinghua University
& Parametrix.ai.)
Bo Wu (Parametrix.ai)
Hanmo Chen (Shenzhen International Graduate School, Tsinghua University
& Parametrix.ai.)
Hengman Zhu (Parametrix.ai)
Rui Du (bilibili.)
Shanliang Qian (bilibili.)
Shuai Liu (bilibili.)
Weijun Hong (NetEase Games AI Lab)
Jinke He (Delft University of Technology)
Yibing Zhang (Chengdu Goldwin Electronics Technology Co., Ltd)
Liang Zhao (International Digital Economy Academy)
Clare Zhu (Stanford University)
Julian Togelius (New York University)
Sharada Mohanty (AICrowd)
Jiaxin Chen (Parametrix.ai)
Xiu Li (Shenzhen International Graduate School, Tsinghua University)
Xiaolong Zhu (Parametrix.ai)
Phillip Isola (Massachusetts Institute of Technology)
SE4AI
Issues on Designing a Social Media Agent: Agile Use Case Design for Behavioral
Game Theory (Page
2493)
Francisco S. Marcondes (U. of Minho)
José Joăo Almeida (U. of Minho)
Paulo Novais (U. of Minho)
Modeling
Application Scenarios for Responsible Autonomy using Computational Transcendence (Page
2496)
Jayati Deshmukh (International Institute of Information Technology,
Bangalore)
Nikitha Adivi (International Institute of Information Technology, Bangalore)
Srinath Srinivasa (International Institute of Information Technology,
Bangalore)
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Domain-Expert
Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases (Page
2499)
Jérémy Lemée (University of St. Gallen)
Samuele Burattini (Universitŕ di Bologna)
Simon Mayer (University of St. Gallen)
Andrei Ciortea (University of St. Gallen)
Multi-Agent
Reinforcement Learning for Fast-Timescale Demand Response of Residential
Loads (Page 2502)
Vincent Mai (Université de Montréal)
Philippe Maisonneuve (Polytechnique Montréal)
Tianyu Zhang (Université de Montréal)
Hadi Nekoei (Université de Montréal)
Liam Paull (Université de Montréal)
Antoine Lesage-Landry (Polytechnique Montréal)
The
Swiss Gambit (Page
2505)
Ágnes Cseh (University of Bayreuth & Institute of Economics, Centre
for Economic and Regional Studies)
Pascal Führlich (Potsdam Institute for Climate Impact Research)
Pascal Lenzner (Hasso Plattner Institute, University of Potsdam)
An
Adversarial Strategic Game for Machine Learning as a Service using System
Features (Page 2508)
Guoxin Sun (University of Melbourne)
Tansu Alpcan (University of Melbourne)
Seyit Camtepe (CSIRO Data61)
Andrew C. Cullen (University of Melbourne)
Benjamin I.P. Rubinstein (University of Melbourne)
Optimizing
Crop Management with Reinforcement Learning and Imitation Learning (Page
2511)
Ran Tao (University of Illinois at Urbana-Champaign)
Pan Zhao (University of Illinois at Urbana-Champaign)
Jing Wu (University of Illinois at Urbana-Champaign)
Nicolas F. Martin (University of Illinois at Urbana-Champaign)
Matthew T. Harrison (University of Tasmania)
Carla Ferreira (Stockholm University)
Zahra Kalantari (KTH Royal Institute of Technology)
Naira Hovakimyan (University of Illinois at Urbana-Champaign)
A
Novel Aggregation Framework for the Efficient Integration of Distributed
Energy Resources in the Smart Grid (Page
2514)
Stavros Orfanoudakis (Delft University of Technology)
Georgios Chalkiadakis (Technical University of Crete)
Near
Optimal Strategies for Honeypots Placement in Dynamic and Large Active
Directory Networks (Page
2517)
Huy Q. Ngo (The University of Adelaide)
Mingyu Guo (The University of Adelaide)
Hung Nguyen (The University of Adelaide)
A
Novel Demand Response Model and Method for Peak Reduction in Smart Grids
- PowerTAC (Page
2520)
Sanjay Chandlekar (International Institute of Information Technology,
Hyderabad)
Arthik Boroju (Indian Institute of Technology Ropar)
Shweta Jain (Indian Institute of Technology Ropar)
Sujit Gujar (International Institute of Information Technology, Hyderabad)
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Shopping
Assistance for Everyone: Dynamic Query Generation On a Semantic Digital
Twin As a Basis for Autonomous Shopping Assistance (Page
2523)
Michaela Kümpel (University of Bremen)
Jonas Dech (University of Bremen)
Alina Hawkin (University of Bremen)
Michael Beetz (University of Bremen)
Counterfactually
Fair Dynamic Assignment: A Case Study on Policing (Page
2526)
Tasfia Mashiat (George Mason University)
Xavier Gitiaux (George Mason University)
Huzefa Rangwala (George Mason University)
Sanmay Das (George Mason University)
A
Cloud-Based Solution for Multi-Agent Traffic Control Systems (Page
2529)
Chikadibia Ihejimba (The University of Texas at Dallas)
Behnan Torabi (The University of Texas at Dallas)
Rym Z. Wenkstern (The University of Texas at Dallas)
Balancing
Fairness and Efficiency in Transport Network Design through Reinforcement
Learning (Page 2532)
Dimitris Michailidis (University of Amsterdam)
Sennay Ghebreab (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)
From
Abstractions to Grounded Languages for Robust Coordination of Task Planning
Robots (Page 2535)
Yu Zhang (Arizona State University)
Idleness
Estimation for Distributed Multiagent Patrolling Strategies (Page
2538)
Mehdi William Othmani-Guibourg (ONERA and Sorbone University)
Jean-Loup Farges (ONERA)
Amal El Fallah Seghrouchni (LIP6 - University of Pierre and Marie Curie)
Simpler
rather than Challenging: Design of Non-Dyadic Human-Robot Collaboration
to Mediate Human-Human Concurrent Tasks (Page
2541)
Francesco Semeraro (The University of Manchester)
Jon Carberry (BAE Systems (Operations) Ltd.)
Angelo Cangelosi (The University of Manchester)
Learning
to Self-Reconfigure for Freeform Modular Robots via Altruism Multi-Agent
Reinforcement Learning (Page
2544)
Lei Wu (Northwestern Polytechnical University)
Bin Guo (Northwestern Polytechnical University)
Qiuyun Zhang (Northwestern Polytechnical University)
Zhuo Sun (Northwestern Polytechnical University)
Jieyi Zhang (Northwestern Polytechnical University)
Zhiwen Yu (Northwestern Polytechnical University)
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Learning
Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots (Page
2547)
Alejandro Romero (Universidade da Coruńa)
Gianluca Baldassarre (National Research Council of Italy)
Richard J. Duro (Universidade da Coruńa)
Vieri Giuliano Santucci (National Research Council of Italy)
Provably
Manipulable 3D Structures using Graph Theory (Page
2550)
John Harwell (University of Minnesota)
London Lowmanstone (University of Minnesota)
Maria Gini (University of Minnesota)
HoLA
Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with
Co-Observations and Horizon-Limiting Announcements (Page
2553)
Kacper Wardega (Boston University)
Max von Hippel (Boston University)
Roberto Tron (Boston University)
Cristina Nita-Rotaru (Boston University)
Wenchao Li (Boston University)
Online
Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding
with Stochastic Travel Times (Page
2556)
Atsuyoshi Kita (Panasonic Holdings Corporation)
Nobuhiro Suenari (Panasonic Holdings Corporation)
Masashi Okada (Panasonic Holdings Corporation)
Tadahiro Taniguchi (Ritsumeikan University & Panasonic Holdings Corporation)
RTransNav:Relation-wise
Transformer Network for More Successful Object Goal Navigation (Page
2559)
Kang Zhou (Wuhan University)
Chi Guo (Wuhan University & Hubei Luojia Laboratory)
Huyin Zhang (Wuhan University)
Wenfei Guo (Wuhan University)
Multi-Agent
Pickup and Delivery in Presence of Another Team of Robots (Page
2562)
Benedetta Flammini (Politecnico di Milano)
Davide Azzalini (Politecnico di Milano)
Francesco Amigoni (Politecnico di Milano)
Reward
Relabelling for Combined Reinforcement and Imitation Learning on Sparse-reward
Tasks (Page 2565)
Jesús Bujalance (MINES ParisTech, PSL University)
Fabien Moutarde (MINES ParisTech, PSL University)
Connectivity
Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic (Page
2568)
Xiangguo Liu (Northwestern University)
Ruochen Jiao (Northwestern University)
Bowen Zheng (Pony.ai)
Dave Liang (Pony.ai)
Qi Zhu (Northwestern University)
Bringing
Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making
and Planning Framework (Page
2571)
Licheng Wen (Shanghai AI Laboratory)
Pinlong Cai (Shanghai AI Laboratory)
Daocheng Fu (Shanghai AI Laboratory)
Song Mao (Shanghai AI Laboratory)
Yikang Li (Shanghai AI Laboratory)
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Loss
of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local,
Event-Triggered Communication (Page
2574)
Edward Vickery (SHL)
Aditya A. Paranjape (Tata Consultancy Services Ltd.)
Multi-Agent
Path Finding via Reinforcement Learning with Hybrid Reward (Page
2577)
Cheng Zhao (University of Sci. & Tech. of China)
Liansheng Zhuang (University of Sci. & Tech. of China)
Haonan Liu (University of Sci. & Tech. of China)
Yihong Huang (University of Sci. & Tech. of China)
Jian Yang (Beijing Institute of Technology)
Multi-Agent
Pickup and Delivery with Task Probability Distribution (Page
2580)
Andrea Di Pietro (Politecnico di Milano)
Nicola Basilico (Universitŕ degli Studi di Milano)
Francesco Amigoni (Politecnico di Milano)
Minimally
Constraining Line-of-Sight Connectivity Maintenance for Collision-free
Multi-Robot Networks under Uncertainty (Page
2583)
Yupeng Yang (University of North Carolina at Charlotte)
Yiwei Lyu (Carnegie Mellon University)
Wenhao Luo (University of North Carolina at Charlotte)
Multi-Agent
Path Finding with Time Windows: Preliminary Results (Page
2586)
Jianqi Gao (Harbin Institute of Technology (Shenzhen))
Qi Liu (Harbin Institute of Technology (Shenzhen))
Shiyu Chen (Harbin Institute of Technology (Shenzhen))
Kejian Yan (Harbin Institute of Technology (Shenzhen))
Xinyi Li (Harbin Institute of Technology (Shenzhen))
Yanjie Li (Harbin Institute of Technology (Shenzhen))
Two-Level
Actor-Critic Using Multiple Teachers (Page
2589)
Su Zhang (Washington State University)
Srijita Das (University of Alberta)
Sriram Ganapathi Subramanian (Vector Institute & University of Waterloo)
Matthew E. Taylor (University of Alberta)
Provably
Efficient Offline RL with Options (Page
2592)
Xiaoyan Hu (The Chinese University of Hong Kong)
Ho-fung Leung (The Chinese University of Hong Kong)
Learning
to Perceive in Deep Model-Free Reinforcement Learning (Page
2595)
Gonçalo Querido (INESC-ID & Instituto Superior Técnico)
Alberto Sardinha (INESC-ID, Instituto Superior Técnico, & PUC-Rio)
Francisco S. Melo (INESC-ID & Instituto Superior Técnico)
SCRIMP:
Scalable Communication for Reinforcement- and Imitation-Learning-Based
Multi-Agent Pathfinding (Page
2598)
Yutong Wang (National University of Singapore)
Bairan Xiang (National University of Singapore)
Shinan Huang (National University of Singapore)
Guillaume Sartoretti (National University of Singapore)
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Learning
Group-Level Information Integration in Multi-Agent Communication (Page
2601)
Xiangrui Meng (Peking University)
Ying Tan (Peking University)
Learnability
with PAC Semantics for Multi-agent Beliefs (Page
2604)
Ionela G. Mocanu (The University of Edinburgh)
Vaishak Belle (The University of Edinburgh)
Brendan Juba (Washington University in St. Louis)
Improving
Cooperative Multi-Agent Exploration via Surprise Minimization and Social
Influence Maximization (Page
2607)
Mingyang Sun (Dalian University of Technology)
Yaqing Hou (Dalian University of Technology)
Jie Kang (Dalian University of Technology)
Haiyin Piao (Northwestern Polytechnical University)
Yifeng Zeng (Northumbria University)
Hongwei Ge (Dalian University of Technology)
Qiang Zhang (Dalian University of Technology)
Learning
to Operate in Open Worlds by Adapting Planning Models (Page
2610)
Wiktor Piotrowski (Palo Alto Research Center)
Roni Stern (Ben-Gurion University)
Yoni Sher (Palo Alto Research Center)
Jacob Le (Palo Alto Research Center)
Matthew Klenk (Toyota Research Institute)
Johan deKleer (Palo Alto Research Center)
Shiwali Mohan (Palo Alto Research Center)
End-to-End
Optimization and Learning for Multiagent Ensembles (Page
2613)
James Kotary (Syracuse University)
Vincenzo Di Vito (Syracuse University)
Ferdinando Fioretto (Syracuse University)
Optimal
Decoy Resource Allocation for Proactive Defense in Probabilistic Attack
Graphs (Page 2616)
Haoxiang Ma (University of Florida)
Shuo Han (University of Illinois Chicago)
Nandi Leslie (Raytheon Technologies)
Charles Kamhoua (US Army Research Laboratory)
Jie Fu (University of Florida)
Referential
Communication in Heterogeneous Communities of Pre-trained Visual Deep
Networks (Page 2619)
Matéo Mahaut (Universitat Pompeu Fabra)
Francesca Franzon (Universitat Pompeu Fabra)
Roberto Dessě (Universitat Pompeu Fabra & Meta AI)
Marco Baroni (Universitat Pompeu Fabra & ICREA)
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A
Learning Approach to Complex Contagion Influence Maximization (Page
2622)
Haipeng Chen (William & Mary)
Bryan Wilder (Carnegie Mellon University)
Wei Qiu (Nanyang Technological University)
Bo An (Nanyang Technological University)
Eric Rice (University of Southern California)
Milind Tambe (Harvard University)
Analyzing
the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning
Generalization (Page
2625)
Nasik Muhammad Nafi (Kansas State University)
Raja Farrukh Ali (Kansas State University)
William Hsu (Kansas State University)
Reinforcement
Learning with Depreciating Assets (Page
2628)
Taylor Dohmen (University of Colorado)
Ashutosh Trivedi (University of Colorado)
Matching
Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning (Page
2631)
Kushal Chauhan (Google Research)
Soumya Chatterjee (Google Research)
Akash Reddy (IIT Madras)
Aniruddha S (IIT Madras)
Balaraman Ravindran (IIT Madras)
Pradeep Shenoy (Google Research)
DGPO:
Discovering Multiple Strategies with Diversity-Guided Policy Optimization (Page
2634)
Wenze Chen (Tsinghua University)
Shiyu Huang (Tsinghua University)
Yuan Chiang (Tsinghua University)
Ting Chen (Tsinghua University)
Jun Zhu (Tsinghua University)
Accelerating
Neural MCTS Algorithms using Neural Sub-Net Structures (Page
2637)
Prashank Kadam (Vesta Corporation)
Ruiyang Xu (Northeastern University)
Karl Lieberherr (Northeastern University)
Provably
Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function
Approximation (Page
2640)
Jing Dong (The Chinese University of Hong Kong, Shenzhen)
Li Shen (JD Explore Academy)
Yinggan Xu (The Chinese University of Hong Kong, Shenzhen)
Baoxiang Wang (The Chinese University of Hong Kong, Shenzhen)
|
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Achieving
Near-optimal Regrets in Confounded Contextual Bandits (Page
2643)
Xueping Gong (HKUST)
Jiheng Zhang (HKUST)
Proportional
Fairness in Obnoxious Facility Location (Page
2646)
Haris Aziz (UNSW Sydney)
Alexander Lam (UNSW Sydney)
Bo Li (Hong Kong Polytechnic University)
Fahimeh Ramezani (UNSW Sydney)
Toby Walsh (UNSW Sydney)
Distortion
in Attribute Approval Committee Elections (Page
2649)
Dorothea Baumeister (Heinrich-Heine-Universität)
Linus Boes (Heinrich-Heine-Universität)
Relaxations
of Envy-Freeness Over Graphs (Page
2652)
Justin Payan (University of Massachusetts, Amherst)
Rik Sengupta (University of Massachusetts, Amherst)
Vignesh Viswanathan (University of Massachusetts, Amherst)
Fairly
Allocating (Contiguous) Dynamic Indivisible Items with Few Adjustments (Page
2655)
Mingwei Yang (Peking University)
Measuring
a Priori Voting Power - Taking Delegations Seriously (Page
2658)
Rachael Colley (IRIT - Université Toulouse 1 Capitole)
Théo Delemazure (Lamsade - Université Paris Dauphine)
Hugo Gilbert (Lamsade - Université Paris Dauphine)
Sampling-Based
Winner Prediction in District-Based Elections (Page
2661)
Debajyoti Kar (Indian Institute of Science, Bangalore)
Palash Dey (Indian Institute of Technology, Kharagpur)
Swagato Sanyal (Indian Institute of Technology, Kharagpur)
Cedric:
A Collaborative DDoS Defense System Using Credit (Page
2664)
Jiawei Li (Tsinghua University)
Hui Wang (Tsinghua University & ZGC Lab)
Jilong Wang (Tsinghua University & ZGC Lab)
Social
Aware Coalition Formation with Bounded Coalition Size (Page
2667)
Chaya Levinger (Ariel University)
Amos Azaria (Ariel University)
Noam Hazon (Ariel University)
|
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Repeatedly
Matching Items to Agents Fairly and Efficiently (Page
2670)
Ioannis Caragiannis (Aarhus University)
Shivika Narang (Indian Institute of Science)
The
Complexity of Minimizing Envy in House Allocation (Page
2673)
Jayakrishnan Madathil (University of Glasgow)
Neeldhara Misra (IIT Gandhinagar)
Aditi Sethia (IIT Gandhinagar)
Error
in the Euclidean Preference Model (Page
2676)
Luke Thorburn (King's College London)
Maria Polukarov (King's College London)
Carmine Ventre (King's College London)
Distance
Hypergraph Polymatrix Coordination Games (Page
2679)
Alessandro Aloisio (Universitŕ degli Studi Internazionali di Roma &
Gran Sasso Science Institute)
Search
versus Search for Collapsing Electoral Control Types (Page
2682)
Benjamin Carleton (Cornell University)
Michael C. Chavrimootoo (University of Rochester)
Lane A. Hemaspaandra (University of Rochester)
David E. Narváez (University of Rochester)
Conor Taliancich (Property Matrix)
Henry B. Welles (University of Rochester)
Does
Delegating Votes Protect Against Pandering Candidates? (Page
2685)
Xiaolin Sun (Tulane University)
Jacob Masur (Tulane University)
Ben Abramowitz (Tulane University)
Nicholas Mattei (Tulane University)
Zizhan Zheng (Tulane University)
Resilient
Fair Allocation of Indivisible Goods (Page
2688)
Dolev Mutzari (Bar Ilan University)
Yonatan Aumann (Bar Ilan University)
Sarit Kraus (Bar Ilan University)
|
| (Return
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Stability
of Weighted Majority Voting under Estimated Weights (Page
2691)
Shaojie Bai (Zhejiang University)
Dongxia Wang (Zhejiang University)
Tim Muller (University of Nottingham)
Peng Cheng (Zhejiang University)
Jiming Chen (Zhejiang University)
Indivisible
Participatory Budgeting with Multiple Degrees of Sophistication of Projects (Page
2694)
Gogulapati Sreedurga (Indian Institute of Science)
Incentivizing
Sequential Crowdsourcing Systems (Page
2697)
Yuan Luo (The Chinese University of Hong Kong (Shenzhen) & Shenzhen
Institute of Artificial Intelligence and Robotics for Society)
No-regret
Learning Dynamics for Sequential Correlated Equilibria (Page
2700)
Hugh Zhang (Harvard University)
Fair
Pricing for Time-Flexible Smart Energy Markets (Page
2703)
Roland Saur (Centrum Wiskunde & Informatica and TU Delft)
Han La Poutré (Centrum Wiskunde & Informatica and TU Delft)
Neil Yorke-Smith (TU Delft)
Budget-Feasible
Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement (Page
2706)
Farzaneh Farhadi (Aston University)
Maria Chli (Aston University)
Nicholas R. Jennings (Loughborough University)
Analysis
of a Learning Based Algorithm for Budget Pacing (Page
2709)
MohammadTaghi Hajiaghayi (University of Maryland)
Max Springer (University of Maryland)
|
| (Return
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Finding
Optimal Nash Equilibria in Multiplayer Games via Correlation Plans (Page
2712)
Youzhi Zhang (Hong Kong Institute of Science & Innovation, CAS)
Bo An (Nanyang Technological University)
V.S. Subrahmanian (Northwestern University)
Diffusion
Multi-unit Auctions with Diminishing Marginal Utility Buyers (Page
2715)
Haolin Liu (University of Virginia)
Xinyuan Lian (ShanghaiTech University)
Dengji Zhao (ShanghaiTech University)
Improving
Quantal Cognitive Hierarchy Model Through Iterative Population Learning (Page
2718)
Yuhong Xu (Singapore Management University)
Shih-Fen Cheng (Singapore Management University)
Xinyu Chen (Singapore Management University)
A
Nash-Bargaining-Based Mechanism for One-Sided Matching Markets and Dichotomous
Utilities (Page 2721)
Jugal Garg (University of Illinois at Urbana-Champaign)
Thorben Tröbst (University of California, Irvine)
Vijay V. Vazirani (University of California, Irvine)
Differentially
Private Diffusion Auction: The Single-unit Case (Page
2724)
Fengjuan Jia (University of Electronic Science and Technology of China)
Mengxiao Zhang (University of Electronic Science and Technology of
China)
Jiamou Liu (The University of Auckland)
Bakh Khoussainov (University of Electronic Science and Technology of
China)
Learning
in Teams: Peer Evaluation for Fair Assessment of Individual Contributions (Page
2727)
Fedor Duzhin (Naynang Technological University) |
| (Return
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Poster
Session III
Agent-based
Simulation of District-based Elections with Heterogeneous Populations (Page
2730)
Adway Mitra (Indian Institute of Technology Kharagpur)
Deep
Learning-based Spatially Explicit Emulation of an Agent-Based Simulator
for Pandemic in a City (Page
2733)
Varun Madhavan (Indian Institute of Technology Kharagpur)
Adway Mitra (Indian Institute of Technology Kharagpur)
Partha Pratim Chakrabarti (Indian Institute of Technology Kharagpur)
A
Decentralized Agent-Based Task Scheduling Framework for Handling Uncertain
Events in Fog Computing (Page
2736)
Yikun Yang (University of Wollongong)
Fenghui Ren (University of Wollongong)
Minjie Zhang (University of Wollongong)
Co-evolution
of Social and Non-social Guilt in Structured Populations (Page
2739)
Theodor Cimpeanu (University of St Andrews)
Luís Moniz Pereira (Universidade Nova de Lisboa)
The Anh Han (Teesside Univeresity)
|
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Phantom
- A RL-driven Multi-Agent Framework to Model Complex Systems (Page
2742)
Leo Ardon (J.P. Morgan AI Research)
Jared Vann (J.P. Morgan AI Research)
Deepeka Garg (J.P. Morgan AI Research)
Thomas Spooner (Sutter Hill Ventures)
Sumitra Ganesh (J.P. Morgan AI Research)
Simulation
Model with Side Trips at a Large-Scale Event (Page
2745)
Ryo Niwa (University of Tsukuba)
Shunki Takami (University of Tsukuba)
Shusuke Shigenaka (University of Tsukuba)
Masaki Onishi (AIST)
Wataru Naito (AIST)
Tetsuo Yasutaka (AIST)
The
Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation
with AI Agents (Page
2748)
Michael Schlechtinger (University of Mannheim)
Damaris Kosack (University of Mannheim)
Heiko Paulheim (University of Mannheim)
Thomas Fetzer (University of Mannheim)
Franz Krause (University of Mannheim)
Crowd
Simulation Incorporating a Route Choice Model and Similarity Evaluation
using Real Large-scale Data (Page
2751)
Ryo Nishida (National Institute of Advanced Industrial Science and
Technology)
Masaki Onishi (National Institute of Advanced Industrial Science and
Technology)
Koichi Hashimoto (Tohoku University)
Capturing
Hiders with Moving Obstacles (Page
2754)
Ayushman Panda (IIIT-Hyderabad)
Kamalakar Karlapalem (IIIT-Hyderabad)
COBAI
: A Generic Agent-based Model of Human Behaviors Centered on Contexts
and Interactions (Page
2757)
Maëlle Beuret (Université de Bourgogne-Franche-Comté)
Irčne Foucherot (Université de Bourgogne-Franche-Comté)
Christian Gentil (Université de Bourgogne-Franche-Comté)
Joël Savelli (Université de Bourgogne-Franche-Comté)
Learning
Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement
Learning (Page 2760)
Michael Curry (University of Zurich)
Alexander Trott (Salesforce Research)
Soham Phade (Salesforce Research)
Yu Bai (Salesforce Research)
Stephan Zheng (Salesforce Research)
|
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Opinion
Dynamics in Populations of Converging and Polarizing Agents (Page
2763)
Anshul Toshniwal (University of Amsterdam)
Fernando P. Santos (University of Amsterdam)
On
a Voter Model with Context-Dependent Opinion Adoption (Page
2766)
Luca Becchetti (Sapienza University of Rome)
Vincenzo Bonifaci (Roma Tre University)
Emilio Cruciani (University of Salzburg)
Francesco Pasquale (University of Rome "Tor Vergata")
Cognitive
Bias-Aware Dissemination Strategies for Opinion Dynamics with External
Information Sources (Page
2769)
Abdullah Al Maruf (University of Washington)
Luyao Niu (University of Washington)
Bhaskar Ramasubramanian (Western Washington University)
Andrew Clark (University of Washington)
Radha Poovendran (University of Washington)
Feature-based
Individual Fairness in k-clustering (Page
2772)
Debajyoti Kar (IIT Kharagpur)
Mert Kosan (UC Santa Barbara)
Debmalya Mandal (MPI-SWS)
Sourav Medya (University of Illinois Chicago)
Arlei Silva (Rice University)
Palash Dey (IIT Kharagpur)
Swagato Sanyal (IIT Kharagpur)
Fair
Facility Location for Socially Equitable Representation (Page
2775)
Helen Sternbach (The Hebrew University)
Sara Cohen (The Hebrew University)
S&F:
Sources and Facts Reliability Evaluation Method (Page
2778)
Quentin Elsaesser (CRIL - CNRS, Université d'Artois)
Patricia Everaere (CRIStAL, Université de Lille)
Sébastien Konieczny (CRIL - CNRS, Université d'Artois)
Offline
Multi-Agent Reinforcement Learning with Coupled Value Factorization (Page
2781)
Xiangsen Wang (Beijing Jiaotong University)
Xianyuan Zhan (Tsinghua University)
Learning
Optimal "Pigovian Tax" in Sequential Social Dilemmas (Page
2784)
Yun Hua (East China Normal University)
Shang Gao (East China Normal University)
Wenhao Li (The Chinese University of Hong Kong, Shenzhen)
Bo Jin (Tongji University)
Xiangfeng Wang (East China Normal University)
Hongyuan Zha (The Chinese University of Hong Kong, Shenzhen & Shenzhen
Institute of AI and Robotics for Society)
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PACCART:
Reinforcing Trust in Multiuser Privacy Agreement Systems (Page
2787)
Daan Di Scala (Utrecht University)
Pinar Yolum (Utrecht University)
Explain
to Me: Towards Understanding Privacy Decisions (Page
2790)
Gonul Ayci (Bogazici University)
Arzucan Özgür (Bogazici University)
Murat Şensoy (Ozyegin University)
Pınar Yolum (Utrecht University)
The
Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented
Autonomous Agents (Page
2792)
Michael A. Goodrich (Brigham Young University)
Jennifer Leaf (Oregon State University)
Julie A. Adams (Oregon State University)
Matthias Scheutz (Tufts University)
Differentially
Private Network Data Collection for Influence Maximization (Page
2795)
M. Amin Rahimian (University of Pittsburgh)
Fang-Yi Yu (George Mason University)
Carlos Hurtado (University of Pittsburgh)
Inferring
Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogeneous
Teams (Page 2798)
Vivek Mallampati (Georgia Institute of Technology)
Harish Ravichandar (Georgia Institute of Technology)
From
Scripts to RL Environments: Towards Imparting Commonsense Knowledge to
RL Agents (Page 2801)
Abhinav Joshi (IIT Kanpur)
Areeb Ahmad (IIT Kanpur)
Umang Pandey (IIT Kanpur)
Ashutosh Modi (IIT Kanpur)
Hierarchical
Reinforcement Learning with Attention Reward (Page
2804)
Sihong Luo (Beijing University of Post and Telecommunication)
Jinghao Chen (Beijing University of Post and Telecommunication)
Zheng Hu (Beijing University of Post and Telecommunication)
Chunhong Zhang (Beijing University of Post and Telecommunication)
Benhui Zhuang (Beijing University of Post and Telecommunication)
Towards
Multi-agent Learning of Causal Networks (Page
2807)
Stefano Mariani (University of Modena and Reggio Emilia)
Pasquale Roseti (University of Modena and Reggio Emilia)
Franco Zambonelli (University of Modena and Reggio Emilia)
FedHQL:
Federated Heterogeneous Q-Learning (Page
2810)
Flint Xiaofeng Fan (National University of Singapore)
Yining Ma (National University of Singapore)
Zhongxiang Dai (National University of Singapore)
Cheston Tan (I2R, A*STAR)
Bryan Kian Hsiang Low (National University of Singapore)
|
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Know
Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement
Learning (Page 2813)
Seán Caulfield Curley (University of Galway)
Karl Mason (University of Galway)
Patrick Mannion (University of Galway)
Transformer
Actor-Critic with Regularization: Automated Stock Trading using Reinforcement
Learning (Page 2815)
Namyeong Lee (Hanyang University)
Jun Moon (Hanyang University)
Model-Based
Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility
Functions (Page 2818)
Johan Källström (Linköping University)
Fredrik Heintz (Linköping University)
Relaxed
Exploration Constrained Reinforcement Learning (Page
2821)
Shahaf S. Shperberg (Ben-Gurion University)
Bo Liu (The University of Texas at Austin)
Peter Stone (The University of Texas at Austin)
Causality
Detection for Efficient Multi-Agent Reinforcement Learning (Page
2824)
Rafael Pina (Loughborough University London)
Varuna De Silva (Loughborough University London)
Corentin Artaud (Loughborough University London)
Diversity
Through Exclusion (DTE): Niche Identification for Reinforcement Learning
through Value-Decomposition (Page
2827)
Peter Sunehag (DeepMind)
Alexander Sasha Vezhnevets (DeepMind)
Edgar A. Duéńez-Guzmán (DeepMind)
Igor Mordatch (Google Brain)
Joel Z. Leibo (DeepMind)
Temporally
Layered Architecture for Adaptive, Distributed and Continuous Control (Page
2830)
Devdhar Patel (University of Massachusetts, Amherst)
Joshua Russell (University of Massachusetts, Amherst)
Francesca Walsh (University of Massachusetts, Amherst)
Tauhidur Rahman (University of California San Diego)
Terrence Sejnowski (Salk Institute for Biological Studies)
Hava Siegelmann (University of Massachusetts, Amherst)
Multi-objective
Reinforcement Learning in Factored MDPs with Graph Neural Networks (Page
2833)
Marc Vincent (Thales Land and Air Systems & LIP6, Sorbonne Université,
CNRS)
Amal El Fallah Seghrouchni (LIP6, Sorbonne Université, CNRS & Mohammed
VI Polytechnic University)
Vincent Corruble (LIP6, Sorbonne Université, CNRS)
Narayan Bernardin (Thales Land and Air Systems)
Rami Kassab (Thales Land and Air Systems)
Frédéric Barbaresco (Thales Land and Air Systems)
An
Analysis of Connections Between Regret Minimization and Actor Critic Methods
in Cooperative Settings (Page
2836)
Chirag Chhablani (University of Illinois at Chicago)
Ian A. Kash (University of Illinois at Chicago)
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Attention-Based
Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty (Page
2839)
Thomy Phan (LMU Munich)
Fabian Ritz (LMU Munich)
Jonas Nüßlein (LMU Munich)
Michael Kölle (LMU Munich)
Thomas Gabor (LMU Munich)
Claudia Linnhoff-Popien (LMU Munich)
A
Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial
Communication (Page
2842)
Nancirose Piazza (SAIL Lab - University of New Haven)
Vahid Behzadan (SAIL Lab - University of New Haven)
Defensive
Collaborative Learning: Protecting Objective Privacy in Data Sharing (Page
2845)
Cynthia Huang (University of Waterloo & Vector Institute)
Pascal Poupart (University of Waterloo & Vector Institute)
Neuro-Symbolic
World Models for Adapting to Open World Novelty (Page
2848)
Jonathan C. Balloch (Georgia Institute of Technology)
Zhiyu Lin (Georgia Institute of Technology)
Xiangyu Peng (Georgia Institute of Technology)
Mustafa Hussain (Georgia Institute of Technology)
Aarun Srinivas (Georgia Institute of Technology)
Robert Wright (Georgia Tech Research Institute)
Julia M. Kim (Georgia Institute of Technology)
Mark O. Riedl (Georgia Institute of Technology)
Modeling
Dynamic Environments with Scene Graph Memory (Page
2851)
Andrey Kurenkov (Stanford University)
Michael Lingelbach (Stanford University)
Tanmay Agarwal (Stanford University)
Chengshu Li (Stanford University)
Emily Jin (Stanford University)
Ruohan Zhang (Stanford University)
Li Fei-Fei (Stanford University)
Jiajun Wu (Stanford University)
Silvio Savarese (Salesforce AI Research)
Roberto Martín-Martín (University of Texas at Austin)
Group
Fair Clustering Revisited -- Notions and Efficient Algorithm (Page
2854)
Shivam Gupta (Indian Institute of Technology Ropar)
Ganesh Ghalme (Indian Institute of Technology Hyderabad)
Narayanan C. Krishnan (Indian Institute of Technology Palakkad)
Shweta Jain (Indian Institute of Technology Ropar)
LTL-Based
Non-Markovian Inverse Reinforcement Learning (Page
2857)
Mohammad Afzal (TCS Research & IIT Bombay)
Sankalp Gambhir (EPFL Switzerland)
Ashutosh Gupta (IIT Bombay)
Krishna S (IIT Bombay)
Ashutosh Trivedi (University of Colorado Boulder)
Alvaro Velasquez (University of Colorado Boulder)
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The
Parameterized Complexity of Welfare Guarantees in Schelling Segregation (Page
2860)
Argyrios Deligkas (Royal Holloway, University of London)
Eduard Eiben (Royal Holloway, University of London)
Tiger-Lily Goldsmith (Royal Holloway, University of London)
Fair
Chore Division under Binary Supermodular Costs (Page
2863)
Siddharth Barman (Indian Institute of Science)
Vishnu Narayan (Tel Aviv University)
Paritosh Verma (Purdue University)
Deliberation
as Evidence Disclosure: A Tale of Two Protocol Types (Page
2866)
Julian Chingoma (University of Amsterdam)
Adrian Haret (University of Amsterdam)
How
Does Fairness Affect the Complexity of Gerrymandering? (Page
2869)
Sandip Banerjee (University of Wrocław)
Rajesh Chitnis (University of Birmingham)
Abhiruk Lahiri (Heinrich Heine University Düsseldorf)
Individual-Fair
and Group-Fair Social Choice Rules under Single-Peaked Preferences (Page
2872)
Gogulapati Sreedurga (Indian Institute of Science)
Soumyarup Sadhukhan (Indian Institute of Technology)
Souvik Roy (Indian Statistical Institute)
Yadati Narahari (Indian Institute of Science)
Maximin
Share Allocations for Assignment Valuations (Page
2875)
Pooja Kulkarni (University of Illinois at Urbana Champaign)
Rucha Kulkarni (University of Illinois at Urbana Champaign)
Ruta Mehta (University of Illinois at Urbana Champaign)
Computational
Complexity of Verifying the Group No-show Paradox (Page
2877)
Farhad Mohsin (Rensselaer Polytechnic Institute)
Qishen Han (Rensselaer Polytechnic Institute)
Sikai Ruan (Rensselaer Polytechnic Institute)
Pin-Yu Chen (IBM Research)
Francesca Rossi (IBM Research)
Lirong Xia (Rensselaer Polytechnic Institute)
Optimal
Capacity Modification for Many-To-One Matching Problems (Page
2880)
Jiehua Chen (TU Wien)
Gergely Csáji (KRTK KTI)
Learning
to Explain Voting Rules (Page
2883)
Inwon Kang (Rensselaer Polytechnic Institute)
Qishen Han (Rensselaer Polytechnic Institute)
Lirong Xia (Rensselaer Polytechnic Institute)
MMS
Allocations of Chores with Connectivity Constraints: New Methods and New
Results (Page 2886)
Mingyu Xiao (University of Electronic Science and Technology of China)
Guoliang Qiu (Shanghai Jiao Tong University)
Sen Huang (University of Electronic Science and Technology of China)
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Group
Fairness in Peer Review (Page
2889)
Haris Aziz (UNSW Sydney)
Evi Micha (University of Toronto)
Nisarg Shah (University of Toronto)
Altruism
in Facility Location Problems (Page
2892)
Houyu Zhou (City University of Hong Kong)
Hau Chan (University of Nebraska-Lincoln)
Minming Li (City University of Hong Kong)
Transfer
Learning based Agent for Automated Negotiation (Page
2895)
Siqi Chen (Tianjin University)
Qisong Sun (Tianjin University)
Heng You (Tianjin University)
Tianpei Yang (University of Alberta)
Jianye Hao (Tianjin University)
Single-Peaked
Jump Schelling Games (Page
2899)
Tobias Friedrich (Hasso Plattner Institute)
Pascal Lenzner (Hasso Plattner Institute)
Louise Molitor (Hasso Plattner Institute)
Lars Seifert (Hasso Plattner Institute)
Defining
Deception in Structural Causal Games (Page
2902)
Francis Rhys Ward (Imperial College London)
Francesca Toni (Imperial College London)
Francesco Belardinelli (Imperial College London)
Game
Model Learning for Mean Field Games (Page
2905)
Yongzhao Wang (University of Michigan)
Michael P. Wellman (University of Michigan)
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Modeling
Robustness in Decision-Focused Learning as a Stackelberg Game (Page
2908)
Sonja Johnson-Yu (Harvard University)
Kai Wang (Harvard University & Google Research)
Jessie Finocchiaro (Harvard University)
Aparna Taneja (Google Research)
Milind Tambe (Harvard University & Google Research)
Two-phase
Security Games (Page
2910)
Andrzej Nagórko (University of Warsaw & IDEAS NCBR)
Paweł Ciosmak (IDEAS NCBR)
Tomasz Michalak (University of Warsaw & IDEAS NCBR)
Stationary
Equilibrium of Mean Field Games with Congestion-dependent Sojourn Times (Page
2913)
Costas Courcoubetis (The Chinese University of Hong Kong)
Antonis Dimakis (Athens University of Economics and Business)
Last-mile
Collaboration: A Decentralized Mechanism with Performance Guarantees and
its Implementation (Page
2916)
Keyang Zhang (Imperial College London)
Jose Javier Escribano Macias (Imperial College London)
Dario Paccagnan (Imperial College London)
Panagiotis Angeloudis (Imperial College London)
Deep
Learning-Powered Iterative Combinatorial Auctions with Active Learning (Page
2919)
Benjamin Estermann (ETH Zurich)
Stefan Kramer (ETH Zurich)
Roger Wattenhofer (ETH Zurich)
Ye Wang (University of Macau)
Revenue
Maximization Mechanisms for an Uninformed Mediator with Communication
Abilities (Page 2922)
Zhikang Fan (Renmin University of China)
Weiran Shen (Renmin University of China) |
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Doctoral
Consortium
Counterfactual
Explanations for Reinforcement Learning Agents (Page
2925)
Jasmina Gajcin (Trinity College Dublin)
Bipartite
Matching for Repeated Allocation Problems (Page
2928)
Yohai Trabelsi (Bar-Ilan University)
Artificial
Intelligence Algorithms for Strategic Reasoning over Complex Multiagent
Systems (Page 2931)
Zun Li (University of Michigan, Ann Arbor)
Emergence
of Cooperation on Networks (Page
2934)
Jacques Bara (University of Warwick)
Enhancing
User Understanding of Reinforcement Learning Agents Through Visual Explanations (Page
2937)
Yotam Amitai (Technion - I.I.T)
Algorithmic
Fairness in Temporal Resource Allocation (Page
2940)
Ashwin Kumar (Washington University in St Louis)
AI
& Multi-agent Systems for Data-centric Epidemic Forecasting (Page
2943)
Alexander Rodríguez (Georgia Institute of Technology)
Strategy
Extraction for Transfer in AI Agents (Page
2946)
Archana Vadakattu (The University of Melbourne)
Multi-Advisor
Dynamic Decision Making (Page
2949)
Zhaori Guo (University of Southampton)
Forward-Looking
and Backward-Looking Responsibility Attribution in Multi-Agent Sequential
Decision Making (Page
2952)
Stelios Triantafyllou (Max Planck Institute for Software Systems)
Coalition
Formation in Sequential Decision-Making under Uncertainty (Page
2955)
Saar Cohen (Bar-Ilan University)
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Fine
Grained Complexity of Fair and Efficient Allocations (Page
2958)
Aditi Sethia (Indian Institute of Technology)
Preference
Inference from Demonstration in Multi-objective Multi-agent Decision Making (Page
2961)
Junlin Lu (University of Galway)
Explanation
through Dialogue for Reasoning Systems (Page
2964)
Yifan Xu (The University of Manchester)
Logics
for Information Aggregation (Page
2967)
John Lindqvist (University of Bergen)
Towards
Sample-Efficient Multi-Objective Reinforcement Learning (Page
2970)
Lucas N. Alegre (Federal University of Rio Grande do Sul & Vrije Universiteit
Brussel)
Verifiably
Safe Decision-Making for Autonomous Systems (Page
2973)
Yi Yang (KU Leuven)
A
Toolkit for Encouraging Safe Diversity in Skill Discovery (Page
2976)
Maxence Hussonnois (Deakin University)
Citizen
Centric Demand Responsive Transport (Page
2979)
Alexander Masterman (Univerity of Southampton)
Safe
Behavior Specification and Planning for Autonomous Robotic Systems in
Uncertain Environments (Page
2982)
Jan Vermaelen (KU Leuven)
Mechanism
Design for Heterogeneous and Distributed Facility Location Problems (Page
2985)
Rongsen Zhang (University of Essex)
Reinforcement
Learning and Mechanism Design for Routing of Connected and Autonomous
Vehicles (Page 2988)
Behrad Koohy (University of Southampton)
Uncertainty-aware
Personal Assistant and Explanation Method for Privacy Decisions (Page
2991)
Gönül Aycı (Bogazici University)
Fair
Transport Network Design using Multi-Agent Reinforcement Learning (Page
2993)
Dimitris Michailidis (University of Amsterdam)
Towards
Scalable and Robust Decision Making in Partially Observable, Multi-Agent
Environments (Page
2996)
Jonathon Schwartz (The Australian National University)
Reinforcement
Learning in Multi-Objective Multi-Agent Systems (Page
2999)
Willem Röpke (Vrije Universiteit Brussel)
Characterizing
Fairness in Societal Resource Allocation (Page
3002)
Tasfia Mashiat (George Mason University)
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Learning
Transferable Representations for Non-stationary Environments (Page
3005)
Mohammad Samin Yasar (University of Virginia)
Effective
Human-Machine Teaming through Communicative Autonomous Agents that Explain,
Coach, and Convince (Page
3008)
Aaquib Tabrez (University of Colorado Boulder)
Towards
a Logical Account for Human-Aware Explanation Generation in Model Reconciliation
Problems (Page 3011)
Stylianos Loukas Vasileiou (Washington University in St Louis)
Contests
and Other Topics in Multi-Agent Systems (Page
3014)
Abheek Ghosh (University of Oxford)
Planning
and Coordination for Unmanned Aerial Vehicles (Page
3017)
Jonathan Diller (Colorado School of Mines)
Towards
Creating Better Interactive Agents: Leveraging Both Implicit and Explicit
Human Feedback (Page
3020)
Kate Candon (Yale University)
Assistive
Robotics for Empowering Humans with Visual Impairments to Independently
Perform Day-to-day Tasks (Page
3023)
Shivendra Agrawal (University of Colorado Boulder)
Separations
and Collapses in Computational Social Choice (Page
3026)
Michael C. Chavrimootoo (University of Rochester)
Emergent
Responsible Autonomy in Multi-Agent Systems (Page
3029)
Jayati Deshmukh (International Institute of Information Technology,
Bangalore)
Learning
Representations and Robust Exploration for Improved Generalization in
Reinforcement Learning (Page
3032)
Nasik Muhammad Nafi (Kansas State University)
Enhancing
Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement
Learning (Page 3035)
Lucia Cipolina-Kun (University of Bristol) |
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Demonstrations
TDD
for AOP: Test-Driven Development for Agent-Oriented Programming (Page
3038)
Cleber Jorge Amaral (Federal Institute of Santa Catarina)
Jomi Fred Hübner (Federal University of Santa Catarina)
Timotheus Kampik (Umeĺ University & SAP Signavio)
Interaction-Oriented
Programming: Intelligent, Meaning-Based Multiagent Systems (Page
3041)
Amit K. Chopra (Lancaster University)
Samuel H. Christie, V (North Carolina State University)
Munindar P. Singh (North Carolina State University)
Improvement
and Evaluation of the Policy Legibility in Reinforcement Learning (Page
3044)
Yanyu Liu (Xiamen University)
Yifeng Zeng (Northumbria University)
Biyang Ma (Minnan Normal University)
Yinghui Pan (Shenzhen University)
Huifan Gao (Xiamen University)
Xiaohan Huang (University of Liverpool)
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Multi-Robot
Warehouse Optimization: Leveraging Machine Learning for Improved Performance (Page
3047)
Mara Cairo (Alberta Machine Intelligence Institute)
Bevin Eldaphonse (Alberta Machine Intelligence Institute)
Payam Mousavi (Alberta Machine Intelligence Institute)
Sahir (Alberta Machine Intelligence Institute)
Sheikh Jubair (Alberta Machine Intelligence Institute)
Matthew E. Taylor (Alberta Machine Intelligence Institute)
Graham Doerksen (Attabotics)
Nikolai Kummer (Attabotics)
Jordan Maretzki (Attabotics)
Gupreet Mohhar (Attabotics)
Sean Murphy (Attabotics)
Johannes Günther (University of Alberta & Amii)
Laura Petrich (University of Alberta & Amii)
Talat Syed (University of Alberta & Amii)
Robust
JaCaMo Applications via Exceptions and Accountability (Page
3050)
Matteo Baldoni (Universitŕ degli Studi di Torino)
Cristina Baroglio (Universitŕ degli Studi di Torino)
Roberto Micalizio (Universitŕ degli Studi di Torino)
Stefano Tedeschi (Universitŕ degli Studi di Torino)
A
Web-based Tool for Detecting Argument Validity and Novelty (Page
3053)
Sandrine Chausson (University of Edinburgh)
Ameer Saadat-Yazdi (University of Edinburgh)
Xue Li (University of Edinburgh)
Jeff Z. Pan (University of Edinburgh & Huawei Edinburgh Centre)
Vaishak Belle (University of Edinburgh)
Nadin Kökciyan (University of Edinburgh)
Björn Ross (University of Edinburgh)
Visualizing
Logic Explanations for Social Media Moderation (Page
3056)
Marc Roig Vilamala (Cardiff University)
Dave Braines (IBM Research Europe)
Federico Cerutti (University of Brescia)
Alun Preece (Cardiff University)
The
Influence Maximisation Game (Page
3059)
Sukankana Chakraborty (The Alan Turing Institute)
Sebastian Stein (University of Southampton)
Ananthram Swami (DEVCOM U.S. Army Reserach Lab)
Matthew Jones (University of Southampton)
Lewis Hill (University of Southampton)
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Demonstrating
Performance Benefits of Human-Swarm Teaming (Page
3062)
William Hunt (University of Southampton)
Jack Ryan (University of Southampton)
Ayodeji O. Abioye (University of Southampton)
Sarvapali D. Ramchurn (University of Southampton)
Mohammad D. Soorati (University of Southampton)
Hiking
up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning
from Humans (Page
3065)
Sai Krishna Gottipati (AI Redefined)
Luong-Ha Nguyen (AI Redefined)
Clodéric Mars (AI Redefined)
Matthew E. Taylor (AI Redefined)
Real
Time Gesturing in Embodied Agents for Dynamic Content Creation (Page
3068)
Hazel Watson-Smith (Soul Machines)
Felix Marcon Swadel (Soul Machines)
Jo Hutton (Soul Machines)
Kirstin Marcon (Soul Machines)
Mark Sagar (Soul Machines)
Shane Blackett (Soul Machines)
Tiago Rebeiro (Soul Machines)
Travers Biddle (Soul Machines)
Tim Wu (Soul Machines)
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