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Author
Index
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Ma,
Biyang (Minnan
Normal University)
Demonstration
Track ~ Improvement and Evaluation of the Policy Legibility in
Reinforcement Learning
(Page 3044)
Ma,
Chunwei (University
at Buffalo)
Main
Track Full Paper ~ FedMM: A Communication Efficient Solver for
Federated Adversarial Domain Adaptation
(Page 1808)
Ma,
Haoxiang (University
of Florida)
Extended
Abstract ~ Optimal Decoy Resource Allocation for Proactive Defense
in Probabilistic Attack Graphs
(Page 2616)
Ma,
Haozhe (National
University of Singapore)
Extended
Abstract ~ Hierarchical Reinforcement Learning with Human-AI
Collaborative Sub-Goals Optimization
(Page 2310)
Ma,
Jinming (University
of Sicence and Technology of China)
Main
Track Full Paper ~ Learning to Coordinate from Offline Datasets
with Uncoordinated Behavior Policies
(Page 1258)
Ma,
Shangzhao (Tianjin
University)
Main
Track Full Paper ~ Think Twice: A Human-like Two-stage Conversational
Agent for Emotional Response Generation
(Page 727)
Ma,
Xiao (Nanjing
University)
Extended
Abstract ~ Grey-box Adversarial Attack on Communication in Multi-agent
Reinforcement Learning
(Page 2448)
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Ma,
Yining (National
University of Singapore)
Extended
Abstract ~ FedHQL: Federated Heterogeneous Q-Learning
(Page 2810)
Maass,
Javier (Universidad
de Chile)
Main
Track Full Paper ~ A Hotelling-Downs Game for Strategic Candidacy
with Binary Issues
(Page 2076)
Macfarlane,
Matthew (University
of Amsterdam)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Madathil,
Jayakrishnan (University
of Glasgow)
Extended
Abstract ~ The Complexity of Minimizing Envy in House Allocation
(Page 2673)
Madhavan,
Varun (Indian
Institute of Technology Kharagpur)
Extended
Abstract ~ Deep Learning-based Spatially Explicit Emulation of
an Agent-Based Simulator for Pandemic in a City
(Page 2733)
Madhiwalla,
Neha (ARMMAN)
Main
Track Full Paper ~ Restless Multi-Armed Bandits for Maternal
and Child Health: Results from Decision-Focused Learning
(Page 1312)
Magnússon,
Sindri (Stockholm
University)
Extended
Abstract ~ TA-Explore: Teacher-Assisted Exploration for Facilitating
Fast Reinforcement Learning
(Page 2412)
Mahaut,
Matéo (Universitat
Pompeu Fabra)
Extended
Abstract ~ Referential Communication in Heterogeneous Communities
of Pre-trained Visual Deep Networks
(Page 2619)
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Mahmud,
Saaduddin (University
of Massachusetts)
Extended
Abstract ~ Causal Explanations for Sequential Decision Making
Under Uncertainty
(Page 2307)
Main
Track Full Paper ~ Semi-Autonomous Systems with Contextual Competence
Awareness (Page
689)
Mai,
Tien (Singapore
Management University)
Main
Track Full Paper ~ Imitating Opponent to Win: Adversarial Policy
Imitation Learning in Two-player Competitive Games
(Page 1285)
Mai,
Vincent (Université
de Montréal)
Extended
Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale
Demand Response of Residential Loads
(Page 2502)
Maisonneuve,
Philippe (Polytechnique
Montréal)
Extended
Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale
Demand Response of Residential Loads
(Page 2502)
Maksimov,
Oleg (Bar-Ilan
University)
Main
Track Full Paper ~ Allocation Problem in Remote Teleoperation:
Online Matching with Offline Reusable Resources and Delayed Assignments
(Page 513)
Mallampati,
Vivek (Georgia
Institute of Technology)
Extended
Abstract ~ Inferring Implicit Trait Preferences from Demonstrations
of Task Allocation in Heterogeneous Teams
(Page 2798)
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Malvone,
Vadim (Télécom
Paris)
Main
Track Full Paper ~ Towards the Verification of Strategic Properties
in Multi-Agent Systems with Imperfect Information
(Page 793)
Maly,
Jan (University
of Amsterdam)
Main
Track Full Paper ~ Fairness in Participatory Budgeting via Equality
of Resources (Page
2031)
Main
Track Full Paper ~ Free-Riding in Multi-Issue Decisions
(Page 2040)
Mandal,
Debmalya (MPI-SWS)
Extended
Abstract ~ Feature-based Individual Fairness in k-clustering
(Page 2772)
Main
Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement
Learning: Adversarial Policies for Training-Time Attacks
(Page 1835)
Mannion,
Patrick (University
of Galway)
Extended
Abstract ~ Know Your Enemy: Identifying and Adapting to Adversarial
Attacks in Deep Reinforcement Learning
(Page 2813)
JAAMAS
Track ~ Scalar Reward is Not Enough
(Page 839)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Mannor,
Shie (Technion
& NVIDIA)
Extended
Abstract ~ Never Worse, Mostly Better: Stable Policy Improvement
in Deep Reinforcement Learning
(Page 2430)
Mao,
Song (Shanghai
AI Laboratory)
Extended
Abstract ~ Bringing Diversity to Autonomous Vehicles: An Interpretable
Multi-vehicle Decision-making and Planning Framework
(Page 2571)
Marathe,
Madhav (University
of Virginia)
Extended
Abstract ~ Towards Optimal and Scalable Evacuation Planning Using
Data-driven Agent Based Models
(Page 2397)
Main
Track Full Paper ~ Assigning Agents to Increase Network-Based
Neighborhood Diversity
(Page 600)
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Marchesini,
Enrico (Northeastern
University)
Main
Track Full Paper ~ Safe Deep Reinforcement Learning by Verifying
Task-Level Properties
(Page 1466)
Marcolino,
Leandro Soriano (Lancaster
University)
JAAMAS
Track ~ On-line Estimators for Ad-hoc Task Execution: Learning
Types and Parameters of Teammates for Effective Teamwork
(Page 140)
Marcon,
Kirstin (Soul
Machines)
Demonstration
Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content
Creation (Page
3068)
Marcon
Swadel, Felix (Soul
Machines)
Demonstration
Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content
Creation (Page
3068)
Marcondes,
Francisco S. (U.
of Minho)
Extended
Abstract ~ SE4AI Issues on Designing a Social Media Agent: Agile
Use Case Design for Behavioral Game Theory
(Page 2493)
Maretzki,
Jordan (Attabotics)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
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Mari,
Mathieu (University
of Warsaw and IDEAS NCBR)
Main
Track Full Paper ~ Online Matching with Delays and Stochastic
Arrival Times
(Page 976)
Mariani,
Stefano (University
of Modena and Reggio Emilia)
Extended
Abstract ~ Towards Multi-agent Learning of Causal Networks
(Page 2807)
Markakis,
Evangelos (Athens
University of Economics and Business and Input Output Global (IOG))
Main
Track Full Paper ~ Improved EFX Approximation Guarantees under
Ordinal-based Assumptions
(Page 591)
Marris,
Luke (DeepMind)
Extended
Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement
Learning in General and Negotiation Games
(Page 2445)
Mars,
Clodéric (AI
Redefined)
Demonstration
Track ~ Hiking up that HILL with Cogment-Verse: Train & Operate
Multi-agent Systems Learning from Humans
(Page 3065)
Marsella,
Stacy C. (Northeastern
University)
Extended
Abstract ~ Effectiveness of Teamwork-Level Interventions through
Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
(Page 2334)
Marsella,
Stacy (Northeastern
University)
Main
Track Full Paper ~ Agent-Based Modeling of Human Decision-makers
Under Uncertain Information During Supply Chain Shortages
(Page 1886)
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Martin,
Mario (Universitat
Politècnica de Catalunya)
Main
Track Full Paper ~ TransfQMix: Transformers for Leveraging the
Graph Structure of Multi-Agent Reinforcement Learning Problems
(Page 1679)
Martin,
Nicolas F. (University
of Illinois at Urbana-Champaign)
Extended
Abstract ~ Optimizing Crop Management with Reinforcement Learning
and Imitation Learning
(Page 2511)
Martinho,
Carlos (INESC-ID
& Instituto Superior Técnico)
Extended
Abstract ~ Modeling the Interpretation of Animations to Help
Improve Emotional Expression
(Page 2301)
Martín-Martín,
Roberto (University
of Texas at Austin)
Extended
Abstract ~ Modeling Dynamic Environments with Scene Graph Memory
(Page 2851)
Maruf,
Abdullah Al (University
of Washington)
Extended
Abstract ~ Cognitive Bias-Aware Dissemination Strategies for
Opinion Dynamics with External Information Sources
(Page 2769)
Marzari,
Luca (University
of Verona)
Main
Track Full Paper ~ Safe Deep Reinforcement Learning by Verifying
Task-Level Properties
(Page 1466)
Mascardi,
Viviana (University
of Genoa)
Main
Track Full Paper ~ MAIDS - A Framework for the Development of
Multi-Agent Intentional Dialogue Systems
(Page 1209)
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Mashiat,
Tasfia (George
Mason University)
Doctoral
Consortium ~ Characterizing Fairness in Societal Resource Allocation
(Page 3002)
Mashiat,
Tasfia (George
Mason University)
Extended
Abstract ~ Counterfactually Fair Dynamic Assignment: A Case Study
on Policing (Page
2526)
Masmitja,
Ivan (Institut
de Ciències del Mar (ICM), CSIC)
Main
Track Full Paper ~ TransfQMix: Transformers for Leveraging the
Graph Structure of Multi-Agent Reinforcement Learning Problems
(Page 1679)
Mason,
Karl (University
of Galway)
Extended
Abstract ~ Know Your Enemy: Identifying and Adapting to Adversarial
Attacks in Deep Reinforcement Learning
(Page 2813)
Masterman,
Alexander (Univerity
of Southampton)
Doctoral
Consortium ~ Citizen Centric Demand Responsive Transport
(Page 2979)
Masters,
Peta (King's
College London)
Main
Track Full Paper ~ Domain-Independent Deceptive Planning
(Page 95)
Masur,
Jacob (Tulane
University)
Extended
Abstract ~ Does Delegating Votes Protect Against Pandering Candidates?
(Page 2685)
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Mate,
Aditya (Harvard
University)
Main
Track Full Paper ~ Restless Multi-Armed Bandits for Maternal
and Child Health: Results from Decision-Focused Learning
(Page 1312)
Mattei,
Nicholas (Tulane
University)
Extended
Abstract ~ Social Mechanism Design: A Low-Level Introduction
(Page 2472)
Mattei,
Nicholas (Tulane
University)
Extended
Abstract ~ Does Delegating Votes Protect Against Pandering Candidates?
(Page 2685)
Mattei,
Nicholas (Tulane)
Main
Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper
Assignment (Page
573)
Matthews,
Tim (University
of Southampton)
Main
Track Full Paper ~ Inferring Player Location in Sports Matches:
Multi-Agent Spatial Imputation from Limited Observations
(Page 1643)
Matuszak,
Haley (Northeastern
University)
Extended
Abstract ~ Effectiveness of Teamwork-Level Interventions through
Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
(Page 2334)
Mayer,
Simon (University
of St. Gallen)
Extended
Abstract ~ Domain-Expert Configuration of Hypermedia Multi-Agent
Systems in Industrial Use Cases
(Page 2499)
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Mayer,
Simon (University
of St. Gallen)
Main
Track Full Paper ~ Signifiers as a First-class Abstraction in
Hypermedia Multi-Agent Systems
(Page 1200)
Mazzi,
Giulio (University
of Verona)
Main
Track Full Paper ~ Learning Logic Specifications for Soft Policy
Guidance in POMCP
(Page 373)
McIlraith,
Sheila A. (University
of Toronto & Vector Institute)
Main
Track Full Paper ~ Epistemic Side Effects: An AI Safety Problem
(Page 1797)
McKee,
Kevin R. (DeepMind)
Extended
Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement
Learning in General and Negotiation Games
(Page 2445)
McLaughlin,
Michael (The
Pennsylvania State University)
Extended
Abstract ~ Artificial Prediction Markets Present a Novel Opportunity
for Human-AI Collaboration
(Page 2304)
McPherson,
D. Livingston (University
of Illinois)
Main
Track Full Paper ~ Structural Attention-based Recurrent Variational
Autoencoder for Highway Vehicle Anomaly Detection
(Page 1125)
McWilliams,
Matthew (Tufts
University)
Extended
Abstract ~ Improving Human-Robot Team Performance with Proactivity
and Shared Mental Models
(Page 2322)
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Mechergui,
Malek (Colorado
State University)
Extended
Abstract ~ Goal Alignment: Re-analyzing Value Alignment Problems
Using Human-Aware AI
(Page 2331)
Medya,
Sourav (University
of Illinois Chicago)
Extended
Abstract ~ Feature-based Individual Fairness in k-clustering
(Page 2772)
Mehta,
Ruta (University
of Illinois at Urbana Champaign)
Extended
Abstract ~ Maximin Share Allocations for Assignment Valuations
(Page 2875)
Mei,
Lili (Hangzhou
Dianzi University)
Main
Track Full Paper ~ Facility Location Games with Thresholds
(Page 2170)
Mei,
Peidong (University
of Exeter)
Main
Track Full Paper ~ Should My Agent Lie for Me? A Study on Attitudes
of US-basedParticipants Towards Deceptive AI in Selected Future-of-work
(Page 345)
Mei,
Yongsheng (The
George Washington University)
Main
Track Full Paper ~ MAC-PO: Multi-Agent Experience Replay via
Collective Priority Optimization
(Page 466)
Meir,
Reshef (Technion
- Israel Institute of Technology)
Main
Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper
Assignment (Page
573)
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Meisheri,
Hardik (TCS
Research)
Main
Track Full Paper ~ Follow your Nose: Using General Value Functions
for Directed Exploration in Reinforcement Learning
(Page 802)
Meli,
Daniele (University
of Verona)
Main
Track Full Paper ~ Learning Logic Specifications for Soft Policy
Guidance in POMCP
(Page 373)
Melo,
Francisco S. (INESC-ID
& Instituto Superior Técnico)
Extended
Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement
Learning (Page
2595)
Meng,
Linghui (Institute
of Automation, Chinese Academy of Sciences & University of Chinese Academy
of Sciences)
Main
Track Full Paper ~ M3: Modularization for Multi-task and Multi-agent
Offline Pre-training
(Page 1624)
Meng,
Xiangrui (Peking
University)
Extended
Abstract ~ Learning Group-Level Information Integration in Multi-Agent
Communication
(Page 2601)
Merlis,
Nadav (Technion)
Extended
Abstract ~ Never Worse, Mostly Better: Stable Policy Improvement
in Deep Reinforcement Learning
(Page 2430)
Mertes,
Silvan (University
of Augsburg)
Main
Track Full Paper ~ GANterfactual-RL: Understanding Reinforcement
Learning Agents' Strategies through Visual Counterfactual Explanations
(Page 1097)
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Micalizio,
Roberto (Università
degli Studi di Torino)
Demonstration
Track ~ Robust JaCaMo Applications via Exceptions and Accountability
(Page 3050)
Micha,
Evi (University
of Toronto)
Extended
Abstract ~ Group Fairness in Peer Review
(Page 2889)
Micha,
Evi (University
of Toronto)
Main
Track Full Paper ~ Best of Both Worlds Fairness under Entitlements
(Page 941)
Michailidis,
Dimitris (University
of Amsterdam)
Doctoral
Consortium ~ Fair Transport Network Design using Multi-Agent
Reinforcement Learning
(Page 2993)
Michailidis,
Dimitris (University
of Amsterdam)
Extended
Abstract ~ Balancing Fairness and Efficiency in Transport Network
Design through Reinforcement Learning
(Page 2532)
Michalak,
Tomasz (University
of Warsaw & IDEAS NCBR)
Extended
Abstract ~ Two-phase Security Games
(Page 2910)
Michalak,
Tomasz (University
of Warsaw & IDEAS NCBR)
Main
Track Full Paper ~ Adversarial Link Prediction in Spatial Networks
(Page 1817)
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Milzman,
Jesse (DEVCOM
Army Research Laboratory)
Main
Track Full Paper ~ Decentralized Core-periphery Structure in
Social Networks Accelerates Cultural Innovation in Agent-based Modeling
(Page 2213)
Mishra,
Bhaskar (University
of Florida)
Main
Track Full Paper ~ Learning Properties in Simulation-Based Games
(Page 272)
Misra,
Neeldhara (IIT
Gandhinagar)
Extended
Abstract ~ The Complexity of Minimizing Envy in House Allocation
(Page 2673)
Mitra,
Adway (Indian
Institute of Technology Kharagpur)
Extended
Abstract ~ Agent-based Simulation of District-based Elections
with Heterogeneous Populations
(Page 2730)
Mitra,
Adway (Indian
Institute of Technology Kharagpur)
Extended
Abstract ~ Deep Learning-based Spatially Explicit Emulation of
an Agent-Based Simulator for Pandemic in a City
(Page 2733)
Mittal,
Dixant (National
University of Singapore)
Main
Track Full Paper ~ ExPoSe: Combining State-Based Exploration
with Gradient-Based Online Search
(Page 1345)
Mittal,
Ketan (LLNL)
Main
Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive
Mesh Refinement
(Page 14)
Mittelmann,
Munyque (University
of Naples Federico II)
JAAMAS
Track ~ Representing and Reasoning about Auctions
(Page 1388)
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Miyashita,
Yuki (Shimizu
Corporation)
Main
Track Full Paper ~ Distributed Planning with Asynchronous Execution
with Local Navigation for Multi-agent Pickup and Delivery Problem
(Page 914)
Mo,
Linjian (Ant
Group)
Main
Track Full Paper ~ Model-Based Reinforcement Learning for Auto-bidding
in Display Advertising
(Page 1560)
Mocanu,
Decebal Constantin (University
of Luxembourg & University of Twente)
Main
Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse
Training in Deep Reinforcement Learning
(Page 1932)
Mocanu,
Elena (University
of Twente)
Main
Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse
Training in Deep Reinforcement Learning
(Page 1932)
Mocanu,
Ionela G. (The
University of Edinburgh)
Extended
Abstract ~ Learnability with PAC Semantics for Multi-agent Beliefs
(Page 2604)
Modi,
Ashutosh (IIT
Kanpur)
Extended
Abstract ~ From Scripts to RL Environments: Towards Imparting
Commonsense Knowledge to RL Agents
(Page 2801)
Mohammadi,
Mohammad (Max
Planck Institute for Software Systems)
Main
Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement
Learning: Adversarial Policies for Training-Time Attacks
(Page 1835)
Mohan,
Shiwali (Palo
Alto Research Center)
Extended
Abstract ~ Learning to Operate in Open Worlds by Adapting Planning
Models (Page 2610)
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Mohanty,
Sharada (AICrowd)
Extended
Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent
Systems: A Case Study on Neural MMO
(Page 2490)
Mohhar,
Gupreet (Attabotics)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
Mohsin,
Farhad (Rensselaer
Polytechnic Institute)
Extended
Abstract ~ Computational Complexity of Verifying the Group No-show
Paradox (Page
2877)
Molitor,
Louise (Hasso
Plattner Institute)
Extended
Abstract ~ Single-Peaked Jump Schelling Games
(Page 2899)
Momennejad,
Ida (Microsoft
Research)
Extended
Abstract ~ One-Shot Learning from a Demonstration with Hierarchical
Latent Language
(Page 2388)
Montali,
Marco (Free
University of Bozen-Bolzano)
Extended
Abstract ~ A Semantic Approach to Decidability in Epistemic Planning
(Page 2361)
Moon,
Jun (Hanyang
University)
Extended
Abstract ~ Transformer Actor-Critic with Regularization: Automated
Stock Trading using Reinforcement Learning
(Page 2815)
Morad,
Steven (University
of Cambridge)
Main
Track Full Paper ~ Permutation-Invariant Set Autoencoders with
Fixed-Size Embeddings for Multi-Agent Learning
(Page 1661)
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Mordatch,
Igor (Google
Brain)
Extended
Abstract ~ Diversity Through Exclusion (DTE): Niche Identification
for Reinforcement Learning through Value-Decomposition
(Page 2827)
Morley,
Sandra (Individual
Researcher)
Extended
Abstract ~ Reasoning about Uncertainty in AgentSpeak using Dynamic
Epistemic Logic
(Page 2394)
Morota
Chu, Sean (UNSW
Sydney)
Extended
Abstract ~ Matching Algorithms under Diversity-Based Reservations
(Page 2469)
Morris-Martin,
Andreasa (University
of Bath)
Main
Track Full Paper ~ Agent-directed Runtime Norm Synthesis
(Page 2271)
Mortveit,
Henning (University
of Virginia)
Extended
Abstract ~ Towards Optimal and Scalable Evacuation Planning Using
Data-driven Agent Based Models
(Page 2397)
Moser,
Cody (University
of California Merced)
Main
Track Full Paper ~ Decentralized Core-periphery Structure in
Social Networks Accelerates Cultural Innovation in Agent-based Modeling
(Page 2213)
Mostafa,
Hala (Bitsight)
Extended
Abstract ~ Effectiveness of Teamwork-Level Interventions through
Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
(Page 2334)
Mousavi,
Payam (Alberta
Machine Intelligence Institute)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
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Mousseau,
Vincent (CentraleSupélec,
Université Paris-Saclay)
Main
Track Full Paper ~ A Hotelling-Downs Game for Strategic Candidacy
with Binary Issues
(Page 2076)
Moutarde,
Fabien (MINES
ParisTech, PSL University)
Extended
Abstract ~ Reward Relabelling for Combined Reinforcement and
Imitation Learning on Sparse-reward Tasks
(Page 2565)
Mouzakitis,
Alex (Jaguar
Land Rover)
JAAMAS
Track ~ Emergence of Norms in Interactions with Complex Rewards
(Page 2280)
Muller,
Paul (DeepMind)
Extended
Abstract ~ Search-Improved Game-Theoretic Multiagent Reinforcement
Learning in General and Negotiation Games
(Page 2445)
Muller,
Philippe (Toulouse
University -- IRIT)
Extended
Abstract ~ Argument-based Explanation Functions
(Page 2373)
Muller,
Tim (University
of Nottingham)
Extended
Abstract ~ Stability of Weighted Majority Voting under Estimated
Weights (Page
2691)
Munagala,
Kamesh (Duke
University)
Main
Track Full Paper ~ Fairness in the Assignment Problem with Uncertain
Priorities (Page
188)
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Murphy,
Sean (Attabotics)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
Murugan,
Raswanth (Indian
Institute of Technology, Palakkad)
Main
Track Full Paper ~ Intelligent Onboard Routing in Stochastic
Dynamic Environments using Transformers
(Page 1688)
Murukannaiah,
Pradeep K. (TU
Delft)
Main
Track Full Paper ~ Value Inference in Sociotechnical Systems
(Page 1774)
Mutzari,
Dolev (Bar
Ilan University)
Extended
Abstract ~ Resilient Fair Allocation of Indivisible Goods
(Page 2688)
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Nafi,
Nasik Muhammad (Kansas
State University)
Doctoral
Consortium ~ Learning Representations and Robust Exploration
for Improved Generalization in Reinforcement Learning
(Page 3032)
Extended
Abstract ~ Analyzing the Sensitivity to Policy-Value Decoupling
in Deep Reinforcement Learning Generalization
(Page 2625)
Nagaraj,
Dheeraj (Google
Research)
Main
Track Full Paper ~ Indexability is Not Enough for Whittle: Improved,
Near-Optimal Algorithms for Restless Bandits
(Page 1294)
Nagórko,
Andrzej (University
of Warsaw & IDEAS NCBR)
Extended
Abstract ~ Two-phase Security Games
(Page 2910)
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Naik,
Ashutosh (University
of Colorado Boulder)
Main
Track Full Paper ~ ShelfHelp: Empowering Humans to Perform Vision-Independent
Manipulation Tasks with a Socially Assistive Robotic Cane
(Page 1514)
Naito,
Wataru (AIST)
Extended
Abstract ~ Simulation Model with Side Trips at a Large-Scale
Event (Page 2745)
Nakadai,
Shinji (NEC
Corporation & National Institute of Advanced Industrial Science and
Technology (AIST))
JAAMAS
Track ~ Preference-Based Multi-Objective Multi-Agent Path Finding
(Page 2000)
Narahari,
Yadati (Indian
Institute of Science)
Extended
Abstract ~ Individual-Fair and Group-Fair Social Choice Rules
under Single-Peaked Preferences
(Page 2872)
Narang,
Shivika (Indian
Institute of Science)
Extended
Abstract ~ Repeatedly Matching Items to Agents Fairly and Efficiently
(Page 2670)
Narayan,
Vishnu (Tel
Aviv University)
Extended
Abstract ~ Fair Chore Division under Binary Supermodular Costs
(Page 2863)
Nardi,
Oliviero (TU
Wien)
Main
Track Full Paper ~ Free-Riding in Multi-Issue Decisions
(Page 2040)
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Narváez,
David E. (University
of Rochester)
Extended
Abstract ~ Search versus Search for Collapsing Electoral Control
Types (Page 2682)
Narváez,
David E. (Virginia
Tech)
Main
Track Full Paper ~ Separating and Collapsing Electoral Control
Types (Page 1743)
Nashed,
Samer B. (University
of Massachusetts)
Extended
Abstract ~ Causal Explanations for Sequential Decision Making
Under Uncertainty
(Page 2307)
Natan,
Avraham (Ben-Gurion
University of the Negev)
Extended
Abstract ~ Blame Attribution for Multi-Agent Pathfinding Execution
Failures (Page
2358)
Nath,
Somjit (TCS
Research)
Main
Track Full Paper ~ Follow your Nose: Using General Value Functions
for Directed Exploration in Reinforcement Learning
(Page 802)
Nath,
Swaprava (Indian
Institute of Technology Bombay)
Main
Track Full Paper ~ Social Distancing via Social Scheduling
(Page 1858)
Nayak,
Suresh (University
of Colorado Boulder)
Main
Track Full Paper ~ ShelfHelp: Empowering Humans to Perform Vision-Independent
Manipulation Tasks with a Socially Assistive Robotic Cane
(Page 1514)
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|
Neerincx,
Mark A. (Delft
University of Technology)
Extended
Abstract ~ Personalized Agent Explanations for Human-Agent Teamwork:
Adapting Explanations to User Trust, Workload, and Performance
(Page 2316)
Neerincx,
Mark A. (Delft
University of Technology & TNO)
Main
Track Full Paper ~ Persuading to Prepare for Quitting Smoking
with a Virtual Coach: Using States and User Characteristics to Predict
Behavior (Page
717)
Nekoei,
Hadi (Université
de Montréal)
Extended
Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale
Demand Response of Residential Loads
(Page 2502)
Nelke,
Sofia Amador (Holon
Institute of Technology)
Extended
Abstract ~ Asynchronous Communication Aware Multi-Agent Task
Allocation (Page
2340)
Ngo,
Huy Q. (The
University of Adelaide)
Extended
Abstract ~ Near Optimal Strategies for Honeypots Placement in
Dynamic and Large Active Directory Networks
(Page 2517)
Nguyen,
Hung (The
University of Adelaide)
Extended
Abstract ~ Near Optimal Strategies for Honeypots Placement in
Dynamic and Large Active Directory Networks
(Page 2517)
Nguyen,
Luong-Ha (AI
Redefined)
Demonstration
Track ~ Hiking up that HILL with Cogment-Verse: Train & Operate
Multi-agent Systems Learning from Humans
(Page 3065)
|
|
|
Nguyen,
Thanh H. (University
of Oregon)
Main
Track Full Paper ~ Imitating Opponent to Win: Adversarial Policy
Imitation Learning in Two-player Competitive Games
(Page 1285)
Nieves,
Juan Carlos (Umeå
University)
Extended
Abstract ~ A Formal Framework for Deceptive Topic Planning in
Information-Seeking Dialogues
(Page 2376)
Nishida,
Ryo (National
Institute of Advanced Industrial Science and Technology)
Extended
Abstract ~ Crowd Simulation Incorporating a Route Choice Model
and Similarity Evaluation using Real Large-scale Data
(Page 2751)
Nishimura,
Mai (OMRON
SINIC X)
Main
Track Full Paper ~ Counterfactual Fairness Filter for Fair-Delay
Multi-Robot Navigation
(Page 887)
Niskanen,
Andreas (University
of Helsinki)
Main
Track Full Paper ~ SAT-based Judgment Aggregation
(Page 1412)
Nita-Rotaru,
Cristina (Boston
University)
Extended
Abstract ~ HoLA Robots: Mitigating Plan-Deviation Attacks in
Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements
(Page 2553)
Main
Track Full Paper ~ Byzantine Resilience at Swarm Scale: A Decentralized
Blocklist Protocol from Inter-robot Accusations
(Page 1430)
Niu,
Luyao (University
of Washington)
Extended
Abstract ~ Cognitive Bias-Aware Dissemination Strategies for
Opinion Dynamics with External Information Sources
(Page 2769)
|
|
|
Niwa,
Ryo (University
of Tsukuba)
Extended
Abstract ~ Simulation Model with Side Trips at a Large-Scale
Event (Page 2745)
Norman,
Timothy J. (University
of Southampton)
Main
Track Full Paper ~ Inferring Player Location in Sports Matches:
Multi-Agent Spatial Imputation from Limited Observations
(Page 1643)
Main
Track Full Paper ~ MADDM: Multi-Advisor Dynamic Binary Decision-Making
by Maximizing the Utility
(Page 2013)
Nöther,
Jonathan (Max
Planck Institute for Software Systems)
Main
Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement
Learning: Adversarial Policies for Training-Time Attacks
(Page 1835)
Novais,
Paulo (U.
of Minho)
Extended
Abstract ~ SE4AI Issues on Designing a Social Media Agent: Agile
Use Case Design for Behavioral Game Theory
(Page 2493)
Nowé,
Ann (Vrije
Universiteit Brussel)
JAAMAS
Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form
Games (Page 269)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Main
Track Full Paper ~ Bridging the Gap Between Single and Multi
Objective Games
(Page 224)
Main
Track Full Paper ~ Sample-Efficient Multi-Objective Learning
via Generalized Policy Improvement Prioritization
(Page 2003)
Nüßlein,
Jonas (LMU
Munich)
Extended
Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement
Learning under State Uncertainty
(Page 2839)
|
|
Obraztsova,
Svetlana (Nanyang
Technological University)
Extended
Abstract ~ Off-Beat Multi-Agent Reinforcement Learning
(Page 2424)
|
|
|
Obremski,
David (University
of Würzburg)
Main
Track Full Paper ~ Reducing Racial Bias by Interacting with Virtual
Agents: An Intervention in Virtual Reality
(Page 747)
Ogunniye,
Gideon (University
College London)
Main
Track Full Paper ~ Contextual Integrity for Argumentation-based
Privacy Reasoning
(Page 2253)
Oh,
Jihwan (Korea
Military Academy)
Main
Track Full Paper ~ Toward Risk-based Optimistic Exploration for
Cooperative Multi-Agent Reinforcement Learning
(Page 1597)
Okada,
Masashi (Panasonic
Holdings Corporation)
Extended
Abstract ~ Online Re-Planning and Adaptive Parameter Update for
Multi-Agent Path Finding with Stochastic Travel Times
(Page 2556)
Oliehoek,
Frans A. (Delft
University of Technology)
Extended
Abstract ~ Safety Guarantees in Multi-agent Learning via Trapping
Regions (Page
2403)
Olson,
Matthew L. (Oregon
State University)
Main
Track Full Paper ~ GANterfactual-RL: Understanding Reinforcement
Learning Agents' Strategies through Visual Counterfactual Explanations
(Page 1097)
Onishi,
Masaki (AIST)
Extended
Abstract ~ Simulation Model with Side Trips at a Large-Scale
Event (Page 2745)
Extended
Abstract ~ Crowd Simulation Incorporating a Route Choice Model
and Similarity Evaluation using Real Large-scale Data
(Page 2751)
|
|
|
Orchard,
Alexi (University
of Waterloo)
Main
Track Full Paper ~ Presenting Multiagent Challenges in Team Sports
Analytics (Page
1781)
Orfanoudakis,
Stavros (Delft
University of Technology)
Extended
Abstract ~ A Novel Aggregation Framework for the Efficient Integration
of Distributed Energy Resources in the Smart Grid
(Page 2514)
Osogami,
Takayuki (IBM
Research - Tokyo)
Main
Track Full Paper ~ Learning the Stackelberg Equilibrium in a
Newsvendor Game
(Page 242)
Othmani-Guibourg,
Mehdi William (ONERA
and Sorbone University)
Extended
Abstract ~ Idleness Estimation for Distributed Multiagent Patrolling
Strategies (Page
2538)
Ouaguenouni,
Mohamed (Sorbonne
Université, CNRS, LIP6)
Extended
Abstract ~ Robust Ordinal Regression for Collaborative Preference
Learning with Opinion Synergies
(Page 2439)
Oualhadj,
Youssouf (LACL
-- Université Paris-Est Créteil)
Main
Track Full Paper ~ Synthesis of Resource-Aware Controllers Against
Rational Agents
(Page 775)
Özgür,
Arzucan (Bogazici
University)
Extended
Abstract ~ Explain to Me: Towards Understanding Privacy Decisions
(Page 2790)
Öztürk,
Meltem (Université
Paris-Dauphine & Université PSL, CNRS, LAMSADE)
Extended
Abstract ~ Robust Ordinal Regression for Collaborative Preference
Learning with Opinion Synergies
(Page 2439)
|
|
|
Paccagnan,
Dario (Imperial
College London)
Extended
Abstract ~ Last-mile Collaboration: A Decentralized Mechanism
with Performance Guarantees and its Implementation
(Page 2916)
Padget,
Julian (University
of Bath)
Main
Track Full Paper ~ Agent-directed Runtime Norm Synthesis
(Page 2271)
Pais,
Denis Benevolo (University
of São Paulo)
Extended
Abstract ~ Forward-PECVaR Algorithm: Exact Evaluation for CVaR
SSPs (Page 2364)
Pan,
Jeff Z. (University
of Edinburgh & Huawei Edinburgh Centre)
Demonstration
Track ~ A Web-based Tool for Detecting Argument Validity and
Novelty (Page
3053)
Pan,
Yinghui (Shenzhen
University)
Demonstration
Track ~ Improvement and Evaluation of the Policy Legibility in
Reinforcement Learning
(Page 3044)
Pan,
Yuqi (Peking
University)
Main
Track Full Paper ~ Altruism, Collectivism and Egalitarianism:
On a Variety of Prosocial Behaviors in Binary Networked Public Goods
Games (Page 609)
Panda,
Ayushman (IIIT-Hyderabad)
Extended
Abstract ~ Capturing Hiders with Moving Obstacles
(Page 2754)
Pandey,
Umang (IIT
Kanpur)
Extended
Abstract ~ From Scripts to RL Environments: Towards Imparting
Commonsense Knowledge to RL Agents
(Page 2801)
|
|
|
Panisson,
Alison R. (UFSC)
Main
Track Full Paper ~ MAIDS - A Framework for the Development of
Multi-Agent Intentional Dialogue Systems
(Page 1209)
Paranjape,
Aditya A. (Tata
Consultancy Services Ltd.)
Extended
Abstract ~ Loss of Distributed Coverage Using Lazy Agents Operating
Under Discrete, Local, Event-Triggered Communication
(Page 2574)
Parisi,
Francesco (University
of Calabria)
Main
Track Full Paper ~ Epistemic Abstract Argumentation Framework:
Formal Foundations, Computation and Complexity
(Page 409)
Park,
Hae Won (MIT
Media Lab)
Main
Track Full Paper ~ Joint Engagement Classification using Video
Augmentation Techniques for Multi-person HRI in the wild
(Page 698)
Park,
Jinkyoo (Korea
Advanced Institute of Science and Technology)
Main
Track Full Paper ~ Learn to Solve the Min-max Multiple Traveling
Salesmen Problem with Reinforcement Learning
(Page 878)
Park,
Junyoung (Korea
Advanced Institute of Science and Technology)
Main
Track Full Paper ~ Learn to Solve the Min-max Multiple Traveling
Salesmen Problem with Reinforcement Learning
(Page 878)
Parlar,
Can (Delft
University of Technology)
Extended
Abstract ~ Personalized Agent Explanations for Human-Agent Teamwork:
Adapting Explanations to User Trust, Workload, and Performance
(Page 2316)
Parunak,
H. Van Dyke (Parallax
Advanced Research)
JAAMAS
Track ~ How to Turn an MAS into a Graphical Causal Model
(Page 1845)
|
|
|
Pasquale,
Francesco (University
of Rome "Tor Vergata")
Extended
Abstract ~ On a Voter Model with Context-Dependent Opinion Adoption
(Page 2766)
Patel,
Devdhar (University
of Massachusetts, Amherst)
Extended
Abstract ~ Temporally Layered Architecture for Adaptive, Distributed
and Continuous Control
(Page 2830)
Pateria,
Shubham (Singapore
Management University)
Extended
Abstract ~ Towards Explaining Sequences of Actions in Multi-Agent
Deep Reinforcement Learning Models
(Page 2325)
Paulheim,
Heiko (University
of Mannheim)
Extended
Abstract ~ The Price of Algorithmic Pricing: Investigating Collusion
in a Market Simulation with AI Agents
(Page 2748)
Paull,
Liam (Université
de Montréal)
Extended
Abstract ~ Multi-Agent Reinforcement Learning for Fast-Timescale
Demand Response of Residential Loads
(Page 2502)
Pawłowski,
Michał (University
of Warsaw and IDEAS NCBR)
Main
Track Full Paper ~ Online Matching with Delays and Stochastic
Arrival Times
(Page 976)
Payan,
Justin (University
of Massachusetts, Amherst)
Extended
Abstract ~ Relaxations of Envy-Freeness Over Graphs
(Page 2652)
Main
Track Full Paper ~ Graphical House Allocation
(Page 161)
Pearce,
Tim (Microsoft
Research)
Main
Track Full Paper ~ TiZero: Mastering Multi-Agent Football with
Curriculum Learning and Self-Play
(Page 67)
|
|
|
Pechenizkiy,
Mykola (Eindhoven
University of Technology)
Main
Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse
Training in Deep Reinforcement Learning
(Page 1932)
Penczek,
Wojciech (Institute
of Computer Science, Polish Academy of Sciences)
Main
Track Full Paper ~ Strategic (Timed) Computation Tree Logic
(Page 382)
Pendurkar,
Sumedh (Texas
A&M University)
Main
Track Full Paper ~ Bilevel Entropy based Mechanism Design for
Balancing Meta in Video Games
(Page 2134)
Peng,
Nianli (Duke
University)
Main
Track Full Paper ~ Welfare and Fairness in Multi-objective Reinforcement
Learning (Page
1991)
Peng,
Xiangyu (Georgia
Institute of Technology)
Extended
Abstract ~ Neuro-Symbolic World Models for Adapting to Open World
Novelty (Page
2848)
Pennock,
David (Rutgers
University)
Extended
Abstract ~ Artificial Prediction Markets Present a Novel Opportunity
for Human-AI Collaboration
(Page 2304)
Pereira,
Luís Moniz (Universidade
Nova de Lisboa)
Extended
Abstract ~ Co-evolution of Social and Non-social Guilt in Structured
Populations (Page
2739)
Pérez,
Guillermo A. (University
of Antwerp)
Main
Track Full Paper ~ Formally-Sharp DAgger for MCTS: Lower-Latency
Monte Carlo Tree Search using Data Aggregation with Formal Methods
(Page 1354)
|
|
|
Perrussel,
Laurent (University
of Toulouse Capitole - IRIT)
JAAMAS
Track ~ Representing and Reasoning about Auctions
(Page 1388)
Pertzovskiy,
Arseni (Ben-Gurion
University of the Negev)
Main
Track Full Paper ~ CAMS: Collision Avoiding Max-Sum for Mobile
Sensor Teams (Page
104)
Peters,
Jannik (Technische
Universität Berlin)
Main
Track Full Paper ~ Margin of Victory for Weighted Tournament
Solutions (Page
1716)
Peters,
Lasse (Delft
University of Technology)
Main
Track Full Paper ~ Cost Inference for Feedback Dynamic Games
from Noisy Partial State Observations and Incomplete Trajectories
(Page 1062)
Petersen,
Brenden (LLNL)
Main
Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive
Mesh Refinement
(Page 14)
Petrich,
Laura (University
of Alberta & Amii)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
Petrides,
Socratis (LLNL)
Main
Track Full Paper ~ Multi-Agent Reinforcement Learning for Adaptive
Mesh Refinement
(Page 14)
|
|
|
Petrucci,
Laure (Université
Sorbonne Paris Nord)
Main
Track Full Paper ~ Strategic (Timed) Computation Tree Logic
(Page 382)
Phade,
Soham (Salesforce
Research)
Extended
Abstract ~ Learning Solutions in Large Economic Networks using
Deep Multi-Agent Reinforcement Learning
(Page 2760)
Phan,
Thomy (LMU
Munich)
Extended
Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement
Learning under State Uncertainty
(Page 2839)
Piao,
Haiyin (Northwestern
Polytechnical University)
Extended
Abstract ~ Improving Cooperative Multi-Agent Exploration via
Surprise Minimization and Social Influence Maximization
(Page 2607)
Piazza,
Nancirose (SAIL
Lab - University of New Haven)
Extended
Abstract ~ A Theory of Mind Approach as Test-Time Mitigation
Against Emergent Adversarial Communication
(Page 2842)
Picard,
Gauthier (ONERA/DTIS,
Université de Toulouse)
Main
Track Full Paper ~ Multi-Agent Consensus-based Bundle Allocation
for Multi-mode Composite Tasks
(Page 504)
Pilgrim,
Charlie (University
of Warwick)
Main
Track Full Paper ~ The Grapevine Web: Analysing the Spread of
False Information in Social Networks with Corrupted Sources
(Page 2234)
Piliouras,
Georgios (Singapore
University of Technology and Design)
Main
Track Full Paper ~ Asymptotic Convergence and Performance of
Multi-Agent Q-learning Dynamics
(Page 1578)
|
|
|
Pina,
Rafael (Loughborough
University London)
Extended
Abstract ~ Causality Detection for Efficient Multi-Agent Reinforcement
Learning (Page
2824)
Piotrowski,
Wiktor (Palo
Alto Research Center)
Extended
Abstract ~ Learning to Operate in Open Worlds by Adapting Planning
Models (Page 2610)
Poletti,
Silvia (University
of Padua)
Extended
Abstract ~ Learning Constraints From Human Stop-Feedback in Reinforcement
Learning (Page
2328)
Polukarov,
Maria (King's
College London)
Extended
Abstract ~ Error in the Euclidean Preference Model
(Page 2676)
Poovendran,
Radha (University
of Washington)
Extended
Abstract ~ Cognitive Bias-Aware Dissemination Strategies for
Opinion Dynamics with External Information Sources
(Page 2769)
Porteous,
Julie (RMIT
University)
Main
Track Full Paper ~ Communicating Agent Intentions for Human-Agent
Decision Making under Uncertainty
(Page 290)
Poupart,
Pascal (University
of Waterloo & Vector Institute)
Extended
Abstract ~ Defensive Collaborative Learning: Protecting Objective
Privacy in Data Sharing
(Page 2845)
|
|
|
Poupart,
Pascal (University
of Waterloo & Vector Institute)
Main
Track Full Paper ~ FedFormer: Contextual Federation with Attention
in Reinforcement Learning
(Page 810)
Prakash,
B. Aditya (Georgia
Institute of Technology)
Main
Track Full Paper ~ Differentiable Agent-based Epidemiology
(Page 1848)
Preece,
Alun (Cardiff
University)
Demonstration
Track ~ Visualizing Logic Explanations for Social Media Moderation
(Page 3056)
Pretorius,
Arnu (InstaDeep)
Extended
Abstract ~ Off-the-Grid MARL: Datasets and Baselines for Offline
Multi-Agent Reinforcement Learning
(Page 2442)
Prévot,
Laurent (Aix
Marseille Univ, CNRS, LPL)
Main
Track Full Paper ~ Trusting Artificial Agents: Communication
Trumps Performance
(Page 299)
Price,
Adrian (Monash
University)
Main
Track Full Paper ~ Domain-Independent Deceptive Planning
(Page 95)
Prieur,
Christophe (GIPSA-Lab)
Main
Track Full Paper ~ Enhancing Reinforcement Learning Agents with
Local Guides (Page
829)
Prorok,
Amanda (University
of Cambridge)
Main
Track Full Paper ~ Heterogeneous Multi-Robot Reinforcement Learning
(Page 1485)
Main
Track Full Paper ~ Permutation-Invariant Set Autoencoders with
Fixed-Size Embeddings for Multi-Agent Learning
(Page 1661)
|
|
|
Pynadath,
David V. (University
of Southern California)
Extended
Abstract ~ Effectiveness of Teamwork-Level Interventions through
Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
(Page 2334)
Main
Track Full Paper ~ Multiagent Inverse Reinforcement Learning
via Theory of Mind Reasoning
(Page 708)
|
|
Qian,
Junqi (Shanghai
Jiao Tong University)
Main
Track Full Paper ~ Learning Rewards to Optimize Global Performance
Metrics in Deep Reinforcement Learning
(Page 1951)
Qian,
Shanliang (bilibili.)
Extended
Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent
Systems: A Case Study on Neural MMO
(Page 2490)
Qian,
Yushan (Tianjin
University)
Main
Track Full Paper ~ Think Twice: A Human-like Two-stage Conversational
Agent for Emotional Response Generation
(Page 727)
Qiao,
Tianchi (Southeast
University)
Main
Track Full Paper ~ Structural Credit Assignment-Guided Coordinated
MCTS: An Efficient and Scalable Method for Online Multiagent Planning
(Page 543)
Qiu,
Guoliang (Shanghai
Jiao Tong University)
Extended
Abstract ~ MMS Allocations of Chores with Connectivity Constraints:
New Methods and New Results
(Page 2886)
Qiu,
Wei (Nanyang
Technological University)
Extended
Abstract ~ Off-Beat Multi-Agent Reinforcement Learning
(Page 2424)
Extended
Abstract ~ A Learning Approach to Complex Contagion Influence
Maximization (Page
2622)
Qiu,
Zirou (University
of Virginia)
Main
Track Full Paper ~ Assigning Agents to Increase Network-Based
Neighborhood Diversity
(Page 600)
|
|
|
Quera-Bofarull,
Arnau (University
of Oxford)
Main
Track Full Paper ~ Differentiable Agent-based Epidemiology
(Page 1848)
Main
Track Full Paper ~ Don't Simulate Twice: One-Shot Sensitivity
Analyses via Automatic Differentiation
(Page 1867)
Querido,
Gonçalo (INESC-ID
& Instituto Superior Técnico)
Extended
Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement
Learning (Page
2595)
|
|
Rabinovich,
Zinovi (Nanyang
Technological University)
Extended
Abstract ~ Off-Beat Multi-Agent Reinforcement Learning
(Page 2424)
Rachmut,
Ben (Ben
Gurion University of the Negev)
Extended
Abstract ~ Asynchronous Communication Aware Multi-Agent Task
Allocation (Page
2340)
Radanovic,
Goran (Max
Planck Institute for Software Systems)
Main
Track Full Paper ~ Towards Computationally Efficient Responsibility
Attribution in Decentralized Partially Observable MDPs
(Page 131)
Radanovic,
Goran (Max
Planck Institute for Software Systems)
Main
Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement
Learning: Adversarial Policies for Training-Time Attacks
(Page 1835)
Radke,
David (Chicago
Blackhawks)
Main
Track Full Paper ~ Presenting Multiagent Challenges in Team Sports
Analytics (Page
1781)
Radke,
David (University
of Waterloo)
Main
Track Full Paper ~ The Importance of Credo in Multiagent Learning
(Page 2243)
|
|
|
Rădulescu,
Roxana (Vrije
Universiteit Brussel)
JAAMAS
Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form
Games (Page 269)
JAAMAS
Track ~ Scalar Reward is Not Enough
(Page 839)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Main
Track Full Paper ~ Bridging the Gap Between Single and Multi
Objective Games
(Page 224)
Rahimian,
M. Amin (University
of Pittsburgh)
Extended
Abstract ~ Differentially Private Network Data Collection for
Influence Maximization
(Page 2795)
Rahman,
Tauhidur (University
of California San Diego)
Extended
Abstract ~ Temporally Layered Architecture for Adaptive, Distributed
and Continuous Control
(Page 2830)
Raj,
Amit (Google)
Extended
Abstract ~ Which way is 'right'?: Uncovering limitations of Vision-and-Language
Navigation Models
(Page 2415)
Rajtmajer,
Sarah (The
Pennsylvania State University)
Extended
Abstract ~ Artificial Prediction Markets Present a Novel Opportunity
for Human-AI Collaboration
(Page 2304)
Raju,
Dhananjay (The
University of Texas at Austin)
Extended
Abstract ~ Memoryless Adversaries in Imperfect Information Games
(Page 2379)
Ramanathan,
Saravanan (Nanyang
Technological University)
Extended
Abstract ~ Minimising Task Tardiness for Multi-Agent Pickup and
Delivery (Page
2349)
|
|
|
Ramasubramanian,
Bhaskar (Western
Washington University)
Extended
Abstract ~ Cognitive Bias-Aware Dissemination Strategies for
Opinion Dynamics with External Information Sources
(Page 2769)
Ramchurn,
Sarvapali D. (University
of Southampton)
Demonstration
Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming
(Page 3062)
Main
Track Full Paper ~ Multi-agent Signalless Intersection Management
with Dynamic Platoon Formation
(Page 1542)
Main
Track Full Paper ~ Inferring Player Location in Sports Matches:
Multi-Agent Spatial Imputation from Limited Observations
(Page 1643)
Ramezani,
Fahimeh (UNSW
Sydney)
Extended
Abstract ~ Proportional Fairness in Obnoxious Facility Location
(Page 2646)
Ramos,
Gabriel (Universidade
do Vale do Rio dos Sinos)
JAAMAS
Track ~ Scalar Reward is Not Enough
(Page 839)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Rana,
Santu (Deakin
University)
Main
Track Full Paper ~ Controlled Diversity with Preference : Towards
Learning a Diverse Set of Desired Skills
(Page 1135)
Rangwala,
Huzefa (George
Mason University)
Extended
Abstract ~ Counterfactually Fair Dynamic Assignment: A Case Study
on Policing (Page
2526)
Rappel,
Ori (Technion
- Israel Institute of Technology)
Main
Track Full Paper ~ Stigmergy-based, Dual-Layer Coverage of Unknown
Regions (Page
1439)
Raskar,
Ramesh (Massachusetts
Institute of Technology)
Main
Track Full Paper ~ Differentiable Agent-based Epidemiology
(Page 1848)
Main
Track Full Paper ~ Don't Simulate Twice: One-Shot Sensitivity
Analyses via Automatic Differentiation
(Page 1867)
|
|
|
Raskin,
Jean-François (Université
Libre de Bruxelles)
Main
Track Full Paper ~ Formally-Sharp DAgger for MCTS: Lower-Latency
Monte Carlo Tree Search using Data Aggregation with Formal Methods
(Page 1354)
Ravi,
S.S. (University
of Virginia & University at Albany - SUNY)
Main
Track Full Paper ~ Assigning Agents to Increase Network-Based
Neighborhood Diversity
(Page 600)
Ravichandar,
Harish (Georgia
Institute of Technology)
Extended
Abstract ~ Inferring Implicit Trait Preferences from Demonstrations
of Task Allocation in Heterogeneous Teams
(Page 2798)
Ravindran,
Balaraman (IIT
Madras)
Extended
Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical
Reinforcement Learning
(Page 2631)
Ray,
Oliver (University
of Bristol)
Main
Track Full Paper ~ Agent-directed Runtime Norm Synthesis
(Page 2271)
Rebeiro,
Tiago (Soul
Machines)
Demonstration
Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content
Creation (Page
3068)
Reddy,
Akash (IIT
Madras)
Extended
Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical
Reinforcement Learning
(Page 2631)
Rehg,
James M. (Georgia
Institute of Technology)
Extended
Abstract ~ Which way is 'right'?: Uncovering limitations of Vision-and-Language
Navigation Models
(Page 2415)
|
|
|
Reis,
Willy Arthur Silva (University
of São Paulo)
Extended
Abstract ~ Forward-PECVaR Algorithm: Exact Evaluation for CVaR
SSPs (Page 2364)
Ren,
Fenghui (University
of Wollongong)
Extended
Abstract ~ A Decentralized Agent-Based Task Scheduling Framework
for Handling Uncertain Events in Fog Computing
(Page 2736)
Ren,
Runtian (University
of Warsaw and IDEAS NCBR)
Main
Track Full Paper ~ Online Matching with Delays and Stochastic
Arrival Times
(Page 976)
Restelli,
Marcello (Politecnico
di Milano)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Rey,
Simon (ILLC,
University of Amsterdam)
Main
Track Full Paper ~ Bounded Approval Ballots: Balancing Expressiveness
and Simplicity for Multiwinner Elections
(Page 1400)
Main
Track Full Paper ~ Fairness in Participatory Budgeting via Equality
of Resources (Page
2031)
Reymond,
Mathieu (Vrije
Universiteit Brussel)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Ribeiro,
Taíssa (INESC-ID
& Instituto Superior Técnico)
Extended
Abstract ~ Modeling the Interpretation of Animations to Help
Improve Emotional Expression
(Page 2301)
Ricci,
Alessandro (AAMAS
2023 Programme Chair)
Welcome
~ Welcome Message from the Chairs
(Page welcome)
|
|
|
Rice,
Eric (University
of Southern California)
Extended
Abstract ~ A Learning Approach to Complex Contagion Influence
Maximization (Page
2622)
Riedl,
Mark O. (Georgia
Institute of Technology)
Extended
Abstract ~ Neuro-Symbolic World Models for Adapting to Open World
Novelty (Page
2848)
Rigter,
Marc (University
of Oxford)
Main
Track Full Paper ~ Risk-Constrained Planning for Multi-Agent
Systems with Shared Resources
(Page 113)
Ritossa,
Angus (UNSW
Sydney)
Main
Track Full Paper ~ Fair Allocation of Two Types of Chores
(Page 143)
Ritz,
Fabian (LMU
Munich)
Extended
Abstract ~ Attention-Based Recurrency for Multi-Agent Reinforcement
Learning under State Uncertainty
(Page 2839)
Robb,
David A. (Heriot-Watt
University)
Extended
Abstract ~ Explanation Styles for Trustworthy Autonomous Systems
(Page 2298)
Robu,
Bogdan (GIPSA-Lab)
Main
Track Full Paper ~ Enhancing Reinforcement Learning Agents with
Local Guides (Page
829)
Rodrigues,
Ricardo (INESC-ID
& Instituto Superior Técnico)
Extended
Abstract ~ Modeling the Interpretation of Animations to Help
Improve Emotional Expression
(Page 2301)
|
|
|
Rodriguez,
Sebastian (RMIT
University)
Main
Track Full Paper ~ A Behaviour-Driven Approach for Testing Requirements
via User and System Stories in Agent Systems
(Page 1182)
Rodríguez,
Alexander (Georgia
Institute of Technology)
Doctoral
Consortium ~ AI & Multi-agent Systems for Data-centric Epidemic
Forecasting (Page
2943)
Rodríguez,
Alexander (Georgia
Institute of Technology)
Main
Track Full Paper ~ Differentiable Agent-based Epidemiology
(Page 1848)
Rodriguez
Diaz, Paula (Harvard
University)
Main
Track Full Paper ~ Fairness for Workers Who Pull the Arms: An
Index Based Policy for Allocation of Restless Bandit Tasks
(Page 1321)
Rodriguez-Aguilar,
Juan A. (IIIA-CSIC)
Main
Track Full Paper ~ Value Inference in Sociotechnical Systems
(Page 1774)
Roig
Vilamala, Marc (Cardiff
University)
Demonstration
Track ~ Visualizing Logic Explanations for Social Media Moderation
(Page 3056)
Roijers,
Diederik M. (Vrije
Universiteit Brussel & City of Amsterdam)
JAAMAS
Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form
Games (Page 269)
JAAMAS
Track ~ Scalar Reward is Not Enough
(Page 839)
JAAMAS
Track ~ A Brief Guide to Multi-Objective Reinforcement Learning
and Planning (Page
1988)
Main
Track Full Paper ~ Bridging the Gap Between Single and Multi
Objective Games
(Page 224)
Main
Track Full Paper ~ Sample-Efficient Multi-Objective Learning
via Generalized Policy Improvement Prioritization
(Page 2003)
|
|
|
Romero,
Alejandro (Universidade
da Coruña)
Extended
Abstract ~ Learning Multiple Tasks with Non-stationary Interdependencies
in Autonomous Robots
(Page 2547)
Roncone,
Alessandro (University
of Colorado Boulder)
Extended
Abstract ~ Hierarchical Reinforcement Learning for Ad Hoc Teaming
(Page 2337)
Röpke,
Willem (Vrije
Universiteit Brussel)
Doctoral
Consortium ~ Reinforcement Learning in Multi-Objective Multi-Agent
Systems (Page
2999)
JAAMAS
Track ~ A Study of Nash Equilibria in Multi-Objective Normal-Form
Games (Page 269)
Main
Track Full Paper ~ Bridging the Gap Between Single and Multi
Objective Games
(Page 224)
Roscher,
Karsten (Fraunhofer
IKS)
Main
Track Full Paper ~ Out-of-Distribution Detection for Reinforcement
Learning Agents with Probabilistic Dynamics Models
(Page 851)
Rosenkrantz,
Daniel J. (University
of Virginia & University at Albany - SUNY)
Main
Track Full Paper ~ Assigning Agents to Increase Network-Based
Neighborhood Diversity
(Page 600)
Roseti,
Pasquale (University
of Modena and Reggio Emilia)
Extended
Abstract ~ Towards Multi-agent Learning of Causal Networks
(Page 2807)
Rosman,
Benjamin (The
University of the Witwatersrand)
Extended
Abstract ~ The Challenge of Redundancy on Multi-agent Value Factorisation
(Page 2436)
|
|
|
Ross,
Björn (University
of Edinburgh)
Demonstration
Track ~ A Web-based Tool for Detecting Argument Validity and
Novelty (Page
3053)
Rossi,
Francesca (IBM
Research)
Extended
Abstract ~ Computational Complexity of Verifying the Group No-show
Paradox (Page
2877)
Roy,
Sanjukta (The
Pennsylvania State University)
Main
Track Full Paper ~ Hedonic Games With Friends, Enemies, and Neutrals:
Resolving Open Questions and Fine-Grained Complexity
(Page 251)
Roy,
Souvik (Indian
Statistical Institute)
Extended
Abstract ~ Individual-Fair and Group-Fair Social Choice Rules
under Single-Peaked Preferences
(Page 2872)
Rozenzweig,
Inbal (Technion
- Israel Institute of Technology)
Main
Track Full Paper ~ Mitigating Skewed Bidding for Conference Paper
Assignment (Page
573)
Ruan,
Jingqing (Institute
of Automation, Chinese Academy of Sciences & University of Chinese Academy
of Sciences)
Main
Track Full Paper ~ M3: Modularization for Multi-task and Multi-agent
Offline Pre-training
(Page 1624)
Ruan,
Sikai (Rensselaer
Polytechnic Institute)
Extended
Abstract ~ Computational Complexity of Verifying the Group No-show
Paradox (Page
2877)
|
|
|
Rubinstein,
Benjamin I.P. (University
of Melbourne)
Extended
Abstract ~ An Adversarial Strategic Game for Machine Learning
as a Service using System Features
(Page 2508)
Russell,
Joshua (University
of Massachusetts, Amherst)
Extended
Abstract ~ Temporally Layered Architecture for Adaptive, Distributed
and Continuous Control
(Page 2830)
Ryan,
Jack (University
of Southampton)
Demonstration
Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming
(Page 3062)
S,
Aniruddha (IIT
Madras)
Extended
Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical
Reinforcement Learning
(Page 2631)
S,
Krishna (IIT
Bombay)
Extended
Abstract ~ LTL-Based Non-Markovian Inverse Reinforcement Learning
(Page 2857)
Saadat-Yazdi,
Ameer (University
of Edinburgh)
Demonstration
Track ~ A Web-based Tool for Detecting Argument Validity and
Novelty (Page
3053)
Sadhukhan,
Soumyarup (Indian
Institute of Technology)
Extended
Abstract ~ Individual-Fair and Group-Fair Social Choice Rules
under Single-Peaked Preferences
(Page 2872)
Sagar,
Mark (Soul
Machines)
Demonstration
Track ~ Real Time Gesturing in Embodied Agents for Dynamic Content
Creation (Page
3068)
|
|
|
Sahir
(Alberta
Machine Intelligence Institute)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
Sankararaman,
Karthik Abinav (Meta)
Main
Track Full Paper ~ Allocation Problem in Remote Teleoperation:
Online Matching with Offline Reusable Resources and Delayed Assignments
(Page 513)
Sankowski,
Piotr (University
of Warsaw, IDEAS NCBR and MIM Solutions)
Main
Track Full Paper ~ Online Matching with Delays and Stochastic
Arrival Times
(Page 976)
Sankur,
Ocan (Univ
Rennes, CNRS, Inria)
Main
Track Full Paper ~ Improved Complexity Results and an Efficient
Solution for Connected Multi-Agent Path Finding
(Page 896)
Santorinaios,
Christodoulos (Athens
University of Economics and Business and Archimedes Research Unit)
Main
Track Full Paper ~ Improved EFX Approximation Guarantees under
Ordinal-based Assumptions
(Page 591)
Santos,
Fernando P. (University
of Amsterdam)
Extended
Abstract ~ Balancing Fairness and Efficiency in Transport Network
Design through Reinforcement Learning
(Page 2532)
Extended
Abstract ~ Opinion Dynamics in Populations of Converging and
Polarizing Agents
(Page 2763)
Main
Track Full Paper ~ The Role of Space, Density and Migration in
Social Dilemmas
(Page 625)
Santucci,
Vieri Giuliano (National
Research Council of Italy)
Extended
Abstract ~ Learning Multiple Tasks with Non-stationary Interdependencies
in Autonomous Robots
(Page 2547)
|
|
|
Sanyal,
Swagato (Indian
Institute of Technology, Kharagpur)
Extended
Abstract ~ Sampling-Based Winner Prediction in District-Based
Elections (Page
2661)
Extended
Abstract ~ Feature-based Individual Fairness in k-clustering
(Page 2772)
Saravia,
Andrés R. (UNC
& CONICET)
Main
Track Full Paper ~ A Deontic Logic of Knowingly Complying
(Page 364)
Sardinha,
Alberto (INESC-ID,
Instituto Superior Técnico, & PUC-Rio)
Extended
Abstract ~ Learning to Perceive in Deep Model-Free Reinforcement
Learning (Page
2595)
Şarkadi,
Stefan (King's
College London)
Main
Track Full Paper ~ Should My Agent Lie for Me? A Study on Attitudes
of US-basedParticipants Towards Deceptive AI in Selected Future-of-work
(Page 345)
Sarkar,
Atrisha (University
of Toronto)
Main
Track Full Paper ~ Revealed Multi-Objective Utility Aggregation
in Human Driving
(Page 1979)
Sartoretti,
Guillaume (National
University of Singapore)
Extended
Abstract ~ SCRIMP: Scalable Communication for Reinforcement-
and Imitation-Learning-Based Multi-Agent Pathfinding
(Page 2598)
Main
Track Full Paper ~ SocialLight: Distributed Cooperation Learning
towards Network-Wide Traffic Signal Control
(Page 1551)
Saur,
Roland (Centrum
Wiskunde & Informatica and TU Delft)
Extended
Abstract ~ Fair Pricing for Time-Flexible Smart Energy Markets
(Page 2703)
|
|
|
Savarese,
Silvio (Salesforce
AI Research)
Extended
Abstract ~ Modeling Dynamic Environments with Scene Graph Memory
(Page 2851)
Savelli,
Joël (Université
de Bourgogne-Franche-Comté)
Extended
Abstract ~ COBAI : A Generic Agent-based Model of Human Behaviors
Centered on Contexts and Interactions
(Page 2757)
Scarlett,
Jonathan (National
University of Singapore)
Extended
Abstract ~ For One and All: Individual and Group Fairness in
the Allocation of Indivisible Goods
(Page 2466)
Scarsini,
Marco (Luiss
University)
Main
Track Full Paper ~ Learning the Stackelberg Equilibrium in a
Newsvendor Game
(Page 242)
Schaar,
Nathan (Technische
Universität Berlin)
Main
Track Full Paper ~ Collecting, Classifying, Analyzing, and Using
Real-World Ranking Data
(Page 1706)
Scheiner,
Tristan (Rose-Hulman
Institute of Technology)
Extended
Abstract ~ Multi-Team Fitness Critics For Robust Teaming
(Page 2406)
Scheutz,
Matthias (Tufts
University)
Extended
Abstract ~ Improving Human-Robot Team Performance with Proactivity
and Shared Mental Models
(Page 2322)
Extended
Abstract ~ Methods and Mechanisms for Interactive Novelty Handling
in Adversarial Environments
(Page 2385)
Extended
Abstract ~ The Resilience Game: A New Formalization of Resilience
for Groups of Goal-Oriented Autonomous Agents
(Page 2792)
Schierreich,
Šimon (Czech
Technical University in Prague)
Main
Track Full Paper ~ Host Community Respecting Refugee Housing
(Page 966)
|
|
|
Schlechtinger,
Michael (University
of Mannheim)
Extended
Abstract ~ The Price of Algorithmic Pricing: Investigating Collusion
in a Market Simulation with AI Agents
(Page 2748)
Schmalhofer,
Marco (Goethe
University)
Main
Track Full Paper ~ Best of Both Worlds: Agents with Entitlements
(Page 564)
Schmidtlein,
Marie Christin (University
of Amsterdam)
Main
Track Full Paper ~ Voting by Axioms
(Page 2067)
Schmoeller
da Roza, Felippe (Fraunhofer
IKS)
Main
Track Full Paper ~ Out-of-Distribution Detection for Reinforcement
Learning Agents with Probabilistic Dynamics Models
(Page 851)
Schuldenzucker,
Steffen (Goethe
University Frankfurt)
Main
Track Full Paper ~ Equilibria and Convergence in Fire Sale Games
(Page 215)
Schuler,
Moritz Lukas (Singapore
Management University)
Main
Track Full Paper ~ Knowledge Compilation for Constrained Combinatorial
Action Spaces in Reinforcement Learning
(Page 860)
Schwartz,
Jonathon (The
Australian National University)
Doctoral
Consortium ~ Towards Scalable and Robust Decision Making in Partially
Observable, Multi-Agent Environments
(Page 2996)
Extended
Abstract ~ Bayes-Adaptive Monte-Carlo Planning for Type-Based
Reasoning in Large Partially Observable, Multi-Agent Environments
(Page 2355)
|
|
|
Schwarzentruber,
François (Univ
Rennes)
Extended
Abstract ~ Reasoning about Uncertainty in AgentSpeak using Dynamic
Epistemic Logic
(Page 2394)
Main
Track Full Paper ~ Improved Complexity Results and an Efficient
Solution for Connected Multi-Agent Path Finding
(Page 896)
Segal-Halevi,
Erel (Ariel
University)
Main
Track Full Paper ~ Efficient Nearly-Fair Division with Capacity
Constraints (Page
206)
Seifert,
Lars (Hasso
Plattner Institute)
Extended
Abstract ~ Single-Peaked Jump Schelling Games
(Page 2899)
Sejnowski,
Terrence (Salk
Institute for Biological Studies)
Extended
Abstract ~ Temporally Layered Architecture for Adaptive, Distributed
and Continuous Control
(Page 2830)
Semeraro,
Francesco (The
University of Manchester)
Extended
Abstract ~ Simpler rather than Challenging: Design of Non-Dyadic
Human-Robot Collaboration to Mediate Human-Human Concurrent Tasks
(Page 2541)
Semineth,
Miriam (University
of Würzburg)
Main
Track Full Paper ~ Reducing Racial Bias by Interacting with Virtual
Agents: An Intervention in Virtual Reality
(Page 747)
Sengadu
Suresh, Prasanth (University
of Georgia)
Main
Track Full Paper ~ Dec-AIRL: Decentralized Adversarial IRL for
Human-Robot Teaming
(Page 1116)
Sengupta,
Rik (University
of Massachusetts, Amherst)
Extended
Abstract ~ Relaxations of Envy-Freeness Over Graphs
(Page 2652)
Main
Track Full Paper ~ Graphical House Allocation
(Page 161)
|
|
|
Sengupta,
Sailik (AWS
AI Labs)
Extended
Abstract ~ 'Why didn't you allocate this task to them?'
Negotiation-Aware Explicable Task Allocation and Contrastive Explanation
Generation (Page
2292)
Şensoy,
Murat (Ozyegin
University)
Extended
Abstract ~ Explain to Me: Towards Understanding Privacy Decisions
(Page 2790)
Seo,
Sangwon (Rice
University)
Main
Track Full Paper ~ Automated Task-Time Interventions to Improve
Teamwork using Imitation Learning
(Page 335)
Septon,
Yael (Technion)
Extended
Abstract ~ Explaining Agent Preferences and Behavior: Integrating
Reward Decomposition and Contrastive Highlights
(Page 2295)
Sequeira,
Pedro (SRI)
Extended
Abstract ~ Effectiveness of Teamwork-Level Interventions through
Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
(Page 2334)
Main
Track Full Paper ~ Multiagent Inverse Reinforcement Learning
via Theory of Mind Reasoning
(Page 708)
Serramia,
Marc (King's
College London)
Main
Track Full Paper ~ Predicting Privacy Preferences for Smart Devices
as Norms (Page
2262)
Sethia,
Aditi (Indian
Institute of Technology)
Doctoral
Consortium ~ Fine Grained Complexity of Fair and Efficient Allocations
(Page 2958)
Extended
Abstract ~ The Complexity of Minimizing Envy in House Allocation
(Page 2673)
Seymour,
William (King's
College London)
Main
Track Full Paper ~ Predicting Privacy Preferences for Smart Devices
as Norms (Page
2262)
|
|
|
Shadagopan
M N, Nischith (IIT
Madras)
Main
Track Full Paper ~ Gathering of Anonymous Agents
(Page 1457)
Shah,
Nisarg (University
of Toronto)
Extended
Abstract ~ Group Fairness in Peer Review
(Page 2889)
Main
Track Full Paper ~ The Distortion of Approval Voting with Runoff
(Page 1752)
Shakya,
Garima (Kyushu
University)
Main
Track Full Paper ~ Social Distancing via Social Scheduling
(Page 1858)
Shankar,
Ajay (University
of Cambridge)
Main
Track Full Paper ~ Heterogeneous Multi-Robot Reinforcement Learning
(Page 1485)
Shao,
Jiawei (The
Hong Kong University of Science and Technology)
Main
Track Full Paper ~ AC2C: Adaptively Controlled Two-Hop Communication
for Multi-Agent Reinforcement Learning
(Page 427)
Shao,
Qian (Singapore
Management University)
Main
Track Full Paper ~ Preference-Aware Delivery Planning for Last-Mile
Logistics (Page
1524)
Shapiro,
Amir (Ben-Gurion
University)
Main
Track Full Paper ~ Optimally Solving the Multiple Watchman Route
Problem with Heuristic Search
(Page 905)
|
|
|
Sharon,
Guni (Texas
A&M University)
Main
Track Full Paper ~ Bilevel Entropy based Mechanism Design for
Balancing Meta in Video Games
(Page 2134)
Shelke,
Omkar (TCS
Research)
Main
Track Full Paper ~ Follow your Nose: Using General Value Functions
for Directed Exploration in Reinforcement Learning
(Page 802)
Shen,
Li (JD
Explore Academy)
Extended
Abstract ~ Provably Efficient Convergence of Primal-Dual Actor-Critic
with Nonlinear Function Approximation
(Page 2640)
Shen,
Ming (Arizona
State University)
Extended
Abstract ~ Methods and Mechanisms for Interactive Novelty Handling
in Adversarial Environments
(Page 2385)
Shen,
Weiran (Renmin
University of China)
Extended
Abstract ~ Revenue Maximization Mechanisms for an Uninformed
Mediator with Communication Abilities
(Page 2922)
Shen,
Yan (University
at Buffalo)
Main
Track Full Paper ~ FedMM: A Communication Efficient Solver for
Federated Adversarial Domain Adaptation
(Page 1808)
Shen,
Zeyu (Duke
University)
Main
Track Full Paper ~ Fairness in the Assignment Problem with Uncertain
Priorities (Page
188)
|
|
|
Shen,
Zhiqi (Nanyang
Technological University)
Extended
Abstract ~ A Teachable Agent to Enhance Elderly's Ikigai
(Page 2319)
Sheng,
Junjie (East
China Normal University)
JAAMAS
Track ~ Learning Structured Communication for Multi-Agent Reinforcement
Learning (Page
436)
Shenoy,
Pradeep (Google
Research)
Extended
Abstract ~ Matching Options to Tasks using Option-Indexed Hierarchical
Reinforcement Learning
(Page 2631)
Sher,
Yoni (Palo
Alto Research Center)
Extended
Abstract ~ Learning to Operate in Open Worlds by Adapting Planning
Models (Page 2610)
Shi,
Chongyang (University
of Florida)
Main
Track Full Paper ~ Quantitative Planning with Action Deception
in Concurrent Stochastic Games
(Page 122)
Shi,
Longxiang (Zhejiang
University City College)
Main
Track Full Paper ~ Efficient Interactive Recommendation via Huffman
Tree-based Policy Learning
(Page 1495)
Shi,
Yufeng (University
of Science and Technology of China)
Main
Track Full Paper ~ Multi-Agent Reinforcement Learning with Safety
Layer for Active Voltage Control
(Page 1533)
|
|
|
Shi,
Zijian (University
of Bristol)
Extended
Abstract ~ Neural Stochastic Agent-Based Limit Order Book Simulation:
A Hybrid Methodology
(Page 2481)
Shigenaka,
Shusuke (University
of Tsukuba)
Extended
Abstract ~ Simulation Model with Side Trips at a Large-Scale
Event (Page 2745)
Shock,
Jonathan (University
of Cape Town, NiTheCS, & INRS Montreal)
Extended
Abstract ~ Off-the-Grid MARL: Datasets and Baselines for Offline
Multi-Agent Reinforcement Learning
(Page 2442)
Shoshan,
Hila (Ariel
University)
Main
Track Full Paper ~ Efficient Nearly-Fair Division with Capacity
Constraints (Page
206)
Shperberg,
Shahaf S. (Ben-Gurion
University)
Extended
Abstract ~ Relaxed Exploration Constrained Reinforcement Learning
(Page 2821)
Sidorenko,
Galina (Halmstad
University)
Extended
Abstract ~ Evaluating a Mechanism for Explaining BDI Agent Behaviour
(Page 2283)
Sidoruk,
Teofil (Warsaw
University of Technology)
Main
Track Full Paper ~ Strategic (Timed) Computation Tree Logic
(Page 382)
Siegelmann,
Hava (University
of Massachusetts, Amherst)
Extended
Abstract ~ Temporally Layered Architecture for Adaptive, Distributed
and Continuous Control
(Page 2830)
|
|
|
Sikdar,
Sujoy (Binghamton
University)
Main
Track Full Paper ~ Fairly Dividing Mixtures of Goods and Chores
under Lexicographic Preferences
(Page 152)
Silva,
Arlei (Rice
University)
Extended
Abstract ~ Feature-based Individual Fairness in k-clustering
(Page 2772)
Simola,
Sofia (TU
Wien)
Main
Track Full Paper ~ Hedonic Games With Friends, Enemies, and Neutrals:
Resolving Open Questions and Fine-Grained Complexity
(Page 251)
Sinapov,
Jivko (Tufts
University)
Extended
Abstract ~ Methods and Mechanisms for Interactive Novelty Handling
in Adversarial Environments
(Page 2385)
Singh,
Munindar P. (North
Carolina State University)
Demonstration
Track ~ Interaction-Oriented Programming: Intelligent, Meaning-Based
Multiagent Systems
(Page 3041)
JAAMAS
Track ~ Mandrake: Multiagent Systems as a Basis for Programming
Fault-Tolerant Decentralized Applications
(Page 1218)
Main
Track Full Paper ~ Kiko: Programming Agents to Enact Interaction
Models (Page 1154)
Singh,
Sagalpreet (Indian
Institute of Technology Ropar)
Main
Track Full Paper ~ On Subset Selection of Multiple Humans To
Improve Human-AI Team Accuracy
(Page 317)
Singh,
Siddarth Shandeep (Instadeep
Ltd)
Extended
Abstract ~ The Challenge of Redundancy on Multi-agent Value Factorisation
(Page 2436)
Singh,
Vaibhav (The
Pennsylvania State University)
Extended
Abstract ~ Artificial Prediction Markets Present a Novel Opportunity
for Human-AI Collaboration
(Page 2304)
|
|
|
Singla,
Adish (Max
Planck Institute for Software Systems)
Main
Track Full Paper ~ Implicit Poisoning Attacks in Two-Agent Reinforcement
Learning: Adversarial Policies for Training-Time Attacks
(Page 1835)
Sinha,
Tanmay (Microsoft
Research)
Extended
Abstract ~ Do As You Teach: A Multi-Teacher Approach to Self-Play
in Deep Reinforcement Learning
(Page 2457)
Skibski,
Oskar (University
of Warsaw)
Main
Track Full Paper ~ Axiomatic Analysis of Medial Centrality Measures
(Page 2188)
Skretas,
George (Hasso
Plattner Institute)
Main
Track Full Paper ~ Being an Influencer is Hard: The Complexity
of Influence Maximization in Temporal Graphs with a Fixed Source
(Page 2222)
Skyler,
Shawn (Ben-Gurion
University)
Main
Track Full Paper ~ Optimally Solving the Multiple Watchman Route
Problem with Heuristic Search
(Page 905)
Smith,
Benjamin J. (University
of Oregon)
JAAMAS
Track ~ Scalar Reward is Not Enough
(Page 839)
Sojoudi,
Somayeh (University
of California, Berkeley)
Main
Track Full Paper ~ Cost Inference for Feedback Dynamic Games
from Noisy Partial State Observations and Incomplete Trajectories
(Page 1062)
Sokar,
Ghada (Eindhoven
University of Technology)
Main
Track Full Paper ~ Automatic Noise Filtering with Dynamic Sparse
Training in Deep Reinforcement Learning
(Page 1932)
|
|
|
Solanki,
Napendra (Indian
Institute of Technology Ropar)
Main
Track Full Paper ~ Fairness Driven Efficient Algorithms for Sequenced
Group Trip Planning Query Problem
(Page 86)
Song,
Meichen (Stony
Brook University & Shanghai Qi Zhi Institute)
Main
Track Full Paper ~ Differentiable Arbitrating in Zero-sum Markov
Games (Page 1034)
Soni,
Utkarsh (Arizona
State University)
Extended
Abstract ~ Methods and Mechanisms for Interactive Novelty Handling
in Adversarial Environments
(Page 2385)
Soorati,
Mohammad D. (University
of Southampton)
Demonstration
Track ~ Demonstrating Performance Benefits of Human-Swarm Teaming
(Page 3062)
Spanjaard,
Olivier (Sorbonne
Université, CNRS, LIP6)
Extended
Abstract ~ Robust Ordinal Regression for Collaborative Preference
Learning with Opinion Synergies
(Page 2439)
Spooner,
Thomas (Sutter
Hill Ventures)
Extended
Abstract ~ Phantom - A RL-driven Multi-Agent Framework to Model
Complex Systems
(Page 2742)
Springer,
Max (University
of Maryland)
Extended
Abstract ~ Analysis of a Learning Based Algorithm for Budget
Pacing (Page 2709)
Sreedharan,
Sarath (Colorado
State University)
Extended
Abstract ~ Goal Alignment: Re-analyzing Value Alignment Problems
Using Human-Aware AI
(Page 2331)
|
|
|
Sreedurga,
Gogulapati (Indian
Institute of Science)
Extended
Abstract ~ Indivisible Participatory Budgeting with Multiple
Degrees of Sophistication of Projects
(Page 2694)
Extended
Abstract ~ Individual-Fair and Group-Fair Social Choice Rules
under Single-Peaked Preferences
(Page 2872)
Main
Track Full Paper ~ The Rule-Tool-User Nexus in Digital Collective
Decisions (Page
1792)
Srinivas,
Aarun (Georgia
Institute of Technology)
Extended
Abstract ~ Neuro-Symbolic World Models for Adapting to Open World
Novelty (Page
2848)
Srinivasa,
Srinath (International
Institute of Information Technology, Bangalore)
Extended
Abstract ~ Modeling Application Scenarios for Responsible Autonomy
using Computational Transcendence
(Page 2496)
Stearns,
Richard E. (University
of Virginia & University at Albany - SUNY)
Main
Track Full Paper ~ Assigning Agents to Increase Network-Based
Neighborhood Diversity
(Page 600)
Stein,
Sebastian (University
of Southampton)
Demonstration
Track ~ The Influence Maximisation Game
(Page 3059)
Main
Track Full Paper ~ Citizen-Centric Multiagent Systems
(Page 1802)
Stern,
Roni (Ben-Gurion
University of the Negev)
Extended
Abstract ~ Blame Attribution for Multi-Agent Pathfinding Execution
Failures (Page
2358)
Extended
Abstract ~ Learning to Operate in Open Worlds by Adapting Planning
Models (Page 2610)
Sternbach,
Helen (The
Hebrew University)
Extended
Abstract ~ Fair Facility Location for Socially Equitable Representation
(Page 2775)
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Stone,
Peter (The
University of Texas at Austin)
Extended
Abstract ~ Relaxed Exploration Constrained Reinforcement Learning
(Page 2821)
Main
Track Full Paper ~ D-Shape: Demonstration-Shaped Reinforcement
Learning via Goal-Conditioning
(Page 1267)
Stringer,
Peter (University
of Manchester)
Extended
Abstract ~ Updating Action Descriptions and Plans for Cognitive
Agents (Page 2370)
Studer,
Thomas (University
of Bern)
Extended
Abstract ~ What Do You Care About: Inferring Values from Emotions
(Page 2289)
Suarez,
Joseph (Massachusetts
Institute of Technology)
Extended
Abstract ~ Benchmarking Robustness and Generalization in Multi-Agent
Systems: A Case Study on Neural MMO
(Page 2490)
Subagdja,
Budhitama (Singapore
Management University)
Extended
Abstract ~ Towards Explaining Sequences of Actions in Multi-Agent
Deep Reinforcement Learning Models
(Page 2325)
Subrahmanian,
V.S. (Northwestern
University)
Extended
Abstract ~ Finding Optimal Nash Equilibria in Multiplayer Games
via Correlation Plans
(Page 2712)
Subramani,
Deepak (Indian
Institute of Science, Bangalore)
Main
Track Full Paper ~ Intelligent Onboard Routing in Stochastic
Dynamic Environments using Transformers
(Page 1688)
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Subramanian,
Jayakumar (Adobe
Media and Data Science Research)
Main
Track Full Paper ~ Differentiable Agent-based Epidemiology
(Page 1848)
Subramanian,
Sriram Ganapathi (Vector
Institute & University of Waterloo)
Extended
Abstract ~ Two-Level Actor-Critic Using Multiple Teachers
(Page 2589)
Suenari,
Nobuhiro (Panasonic
Holdings Corporation)
Extended
Abstract ~ Online Re-Planning and Adaptive Parameter Update for
Multi-Agent Path Finding with Stochastic Travel Times
(Page 2556)
Sugawara,
Toshiharu (Waseda
University)
Main
Track Full Paper ~ Distributed Planning with Asynchronous Execution
with Local Navigation for Multi-agent Pickup and Delivery Problem
(Page 914)
Sullins,
Michael (University
of Illinois at Chicago)
Main
Track Full Paper ~ Multiplicative Weight Updates for Extensive
Form Games (Page
1071)
Sun,
Ankang (University
of Warwick)
JAAMAS
Track ~ Equitability and Welfare Maximization for Allocating
Indivisible Items
(Page 561)
Sun,
Guoxin (University
of Melbourne)
Extended
Abstract ~ An Adversarial Strategic Game for Machine Learning
as a Service using System Features
(Page 2508)
Sun,
Haoyuan (University
of Science and Technology of China)
Main
Track Full Paper ~ Less Is More: Refining Datasets for Offline
Reinforcement Learning with Reward Machines
(Page 1239)
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Sun,
Mingfei (University
of Manchester)
Main
Track Full Paper ~ Trust Region Bounds for Decentralized PPO
Under Non-stationarity
(Page 5)
Sun,
Mingyang (Dalian
University of Technology)
Extended
Abstract ~ Improving Cooperative Multi-Agent Exploration via
Surprise Minimization and Social Influence Maximization
(Page 2607)
Sun,
Qisong (Tianjin
University)
Extended
Abstract ~ Transfer Learning based Agent for Automated Negotiation
(Page 2895)
Sun,
Xiaolin (Tulane
University)
Extended
Abstract ~ Does Delegating Votes Protect Against Pandering Candidates?
(Page 2685)
Sun,
Yiwen (Fudan
University)
Main
Track Full Paper ~ Learning Graph-Enhanced Commander-Executor
for Multi-Agent Navigation
(Page 1652)
Sun,
Zhaohong (Cyberagent
Inc.)
Extended
Abstract ~ Matching Algorithms under Diversity-Based Reservations
(Page 2469)
Sun,
Zhuo (Northwestern
Polytechnical University)
Extended
Abstract ~ Learning to Self-Reconfigure for Freeform Modular
Robots via Altruism Multi-Agent Reinforcement Learning
(Page 2544)
Sunehag,
Peter (DeepMind)
Extended
Abstract ~ Diversity Through Exclusion (DTE): Niche Identification
for Reinforcement Learning through Value-Decomposition
(Page 2827)
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Sung,
Youngchul (KAIST)
Main
Track Full Paper ~ A Variational Approach to Mutual Information-Based
Coordination for Multi-Agent Reinforcement Learning
(Page 40)
Main
Track Full Paper ~ Parameter Sharing with Network Pruning for
Scalable Multi-Agent Deep Reinforcement Learning
(Page 1942)
Suzuki,
Mashbat (UNSW
Sydney)
Main
Track Full Paper ~ Fair Allocation of Two Types of Chores
(Page 143)
Swami,
Ananthram (DEVCOM
U.S. Army Reserach Lab)
Demonstration
Track ~ The Influence Maximisation Game
(Page 3059)
Swarup,
Samarth (University
of Virginia)
Extended
Abstract ~ Towards Optimal and Scalable Evacuation Planning Using
Data-driven Agent Based Models
(Page 2397)
Sycara,
Katia (Carnegie
Mellon University)
Extended
Abstract ~ Emergent Compositional Concept Communication through
Mutual Information in Multi-Agent Teams
(Page 2391)
Sychrovský,
David (Charles
University)
Main
Track Full Paper ~ Price of Anarchy in a Double-Sided Critical
Distribution System
(Page 582)
Syed,
Talat (University
of Alberta & Amii)
Demonstration
Track ~ Multi-Robot Warehouse Optimization: Leveraging Machine
Learning for Improved Performance
(Page 3047)
Szufa,
Stanisław (AGH
University)
Main
Track Full Paper ~ A Map of Diverse Synthetic Stable Roommates
Instances (Page
1003)
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