Accepted Papers

Accepted Papers

Main Track: Full Papers

Bounded Approval Ballots: Balancing Expressiveness and Simplicity for Multiwinner Elections
Dorothea Baumeister, Linus Boes, Christian Laußmann and Simon Rey

Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information
Angelo Ferrando and Vadim Malvone

Fair Allocation of Two Types of Chores
Haris Aziz, Jeremy Lindsay, Angus Ritossa and Mashbat Suzuki

Minimax Strikes Back
Quentin Cohen-Solal and Tristan Cazenave

Mitigating Skewed Bidding for Conference Paper Assignment
Inbal Rozenzweig, Reshef Meir, Nicholas Mattei and Ofra Amir

Kiko: Programming Agents to Enact Interaction Models
Samuel Christie, Munindar P. Singh and Amit Chopra

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning
Caroline Wang, Garrett Warnell and Peter Stone

Best of Both Worlds Fairness under Entitlements
Haris Aziz, Aditya Ganguly and Evi Micha

Probabilistic Rationing with Categorized Priorities: Processing Reserves Fairly and Efficiently
Haris Aziz

Equilibria and Convergence in Fire Sale Games
Nils Bertschinger, Martin Hoefer, Simon Krogmann, Pascal Lenzner, Steffen Schuldenzucker and Lisa Wilhelmi

FedMM: A Communication Efficient Solver for Federated Adversarial Domain Adaptation
Yan Shen, Jian Du, Han Zhao, Zhanghexuan Ji, Chunwei Ma and Mingchen Gao

Self-Motivated Multi-Agent Exploration
Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu and De-Chuan Zhan

Sequential Cooperative Multi-Agent Reinforcement Learning
Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu and Junliang Xing

Persuading to Prepare for Quitting Smoking with a Virtual Coach: Using States and User Characteristics to Predict Behavior
Nele Albers, Mark A. Neerincx and Willem-Paul Brinkman

User Device Interaction Prediction via Relational Gated Graph Attention Network and Intent-aware Encoder
Jingyu Xiao, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Wenxin Tang, Runjie Zhou and Yong Jiang

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination
Xingzhou Lou, Jiaxian Guo, Junge Zhang, Jun Wang, Kaiqi Huang and Yali Du

Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferences
Hadi Hosseini, Sujoy Sikdar, Rohit Vaish and Lirong Xia

Establishing Shared Query Understanding in an Open Multi-Agent System
Nikolaos Kondylidis, Ilaria Tiddi and Annette ten Teije

Communicating Agent Intentions for Human-Agent Decision Making under Uncertainty
Julie Porteous, Alan Lindsay and Fred Charles

TiZero: Mastering Multi-Agent Football with Curriculum Learning and Self-Play
Fanqi Lin, Shiyu Huang, Tim Pearce, Wenze Chen and Wei-Wei Tu

Characterizations of Sequential Valuation Rules
Chris Dong and Patrick Lederer

Graphical House Allocation
Hadi Hosseini, Justin Payan, Rik Sengupta, Rohit Vaish and Vignesh Viswanathan

Non-strategic Econometrics (for Initial Play)
Daniel Chui, Jason Hartline and James Wright

Random Majority Opinion Diffusion: Stabilization Time, Absorbing States, and Influential Nodes
Ahad N. Zehmakan

Empirical Game-Theoretic Analysis for Mean Field Games
Yongzhao Wang and Michael Wellman

Collecting, Classifying, Analyzing, and Using Real-World Ranking Data
Niclas Boehmer and Nathan Schaar

Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation
Hikaru Asano, Ryo Yonetani, Mai Nishimura and Tadashi Kozuno

Voting with Limited Energy: A Study of Plurality and Borda
Zoi Terzopoulou

Differentiable Agent-based Epidemiology
Ayush Chopra, Alexander Rodríguez, Jayakumar Subramanian, Arnau Quera-Bofarull, Balaji Krishnamurthy, B. Aditya Prakash and Ramesh Raskar

Adversarial Inverse Reinforcement Learning for Mean Field Games
Yang Chen, Libo Zhang, Jiamou Liu and Michael Witbrock

Multi-Agent Reinforcement Learning for Adaptive Mesh Refinement
Jiachen Yang, Ketan Mittal, Tarik Dzanic, Socratis Petrides, Brendan Keith, Brenden Petersen, Daniel Faissol and Robert Anderson

Price of Anarchy in a Double-Sided Critical Distribution System
David Sychrovský, Jakub Černý, Sylvain Lichau and Martin Loebl

Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson and Mark Crowley

Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem
Peiwang Tang and Xiancaho Zhang

Social Distancing via Social Scheduling
Deepesh Kumar Lall, Garima Shakya and Swaprava Nath

Semi-Popular Matchings and Copeland Winners
Telikepalli Kavitha and Rohit Vaish

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning
Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri and Harshad Khadilkar

Approximation Algorithm for Computing Budget-Feasible EF1 Allocations
Jiarui Gan, Bo Li and Xiaowei Wu

Revisiting the Distortion of Distributed Voting
Aris Filos-Ratsikas and Alexandros Voudouris

Anonymous Multi-Agent Path Finding with Individual Deadlines
Gilad Fine, Dor Atzmon and Noa Agmon

CraftEnv: A Flexible Collective Robotic Construction Environment for Multi-Agent Reinforcement Learning
Rui Zhao, Xu Liu, Yizheng Zhang, Minghao Li, Cheng Zhou, Shuai Li and Lei Han

Actions, Continuous Distributions and Meta-Beliefs
Vaishak Belle

Differentiable Arbitrating in Zero-sum Markov Games
Jing Wang, Meichen Song, Feng Gao, Boyi Liu, Zhaoran Wang and Yi Wu

Yankee Swap: a Fast and Simple Fair Allocation Mechanism for Matroid Rank Valuations
Vignesh Viswanathan and Yair Zick

Efficient Stackelberg Strategies for Finitely Repeated Games
Natalie Collina, Eshwar Ram Arunachaleswaran and Michael Kearns

Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits
Abheek Ghosh, Dheeraj Nagaraj, Manish Jain and Milind Tambe

Learn to solve the min-max multiple traveling salesmen problem with reinforcement learning
Junyoung Park, Changhyun Kwon and Jinkyoo Park

Curriculum Offline Reinforcement Learning
Yuanying Cai, Chuheng Zhang, Hanye Zhao, Li Zhao and Jiang Bian

Feedback-Guided Intention Scheduling for BDI Agents
Michael Dann, John Thangarajah and Minyi Li

A Behaviour-Driven Approach for Testing Requirements via User and System Stories in Agent Systems
Sebastian Rodriguez, John Thangarajah and Michael Winikoff

Learning Density-Based Correlated Equilibria for Markov Games
Libo Zhang, Yang Chen, Toru Takisaka, Bakh Khoussainov, Michael Witbrock and Jiamou Liu

Ask and You Shall be Served: Representing and Solving Multi-agent Optimization Problems with Service Requesters and Providers
Maya Lavie, Tehila Caspi, Omer Lev and Roie Zivan

Decentralized model-free reinforcement learning in stochastic games with average-reward objective
Romain Cravic, Nicolas Gast and Bruno Gaujal

Host Community Respecting Refugee Housing
Dušan Knop and Šimon Schierreich

Don’t Simulate Twice: one-shot sensitivity analyses via automatic differentiation
Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, Carolina Cuesta-Lazaro, Ani Calinescu, Ramesh Raskar and Mike Wooldridge

Bridging the Gap Between Single and Multi Objective Games
Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowe and Diederik M. Roijers

Trusting artificial agents: communication trumps performance
Marin Le Guillou, Laurent Prévot and Bruno Berberian

The Importance of Credo in Multiagent Learning
David Radke, Kate Larson and Tim Brecht

Margin of Victory for Weighted Tournament Solutions
Michelle Döring and Jannik Peters

Adaptive Learning Rates for Multi-Agent Reinforcement Learning
Jiechuan Jiang and Zongqing Lu

Online Coalitional Skill Formation
Saar Cohen and Noa Agmon

Abstracting Noisy Robot Programs
Till Hofmann and Vaishak Belle

Markov Aggregation for Speeding Up Agent-Based Movement Simulations
Bernhard Geiger, Alireza Jahani, Hussain Hussain and Derek Groen

Strategic Planning for Flexible Agent Availability in Large Taxi Fleets
Rajiv Ranjan Kumar, Pradeep Varakantham and Shih-Fen Cheng

Fairness in the Assignment Problem with Uncertain Priorities
Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain and Kamesh Munagala

Revealed multi-objective utility aggregation in human driving
Atrisha Sarkar, Kate Larson and Krzysztof Czarnecki

Hedonic Games With Friends, Enemies, and Neutrals: Resolving Open Questions and Fine-Grained Complexity
Jiehua Chen, Gergely Csáji, Sanjukta Roy and Sofia Simola

Bribery Can Get Harder in Structured Multiwinner Approval Election
Bartosz Kusek, Robert Bredereck, Piotr Faliszewski, Andrzej Kaczmarczyk and Dušan Knop

Improved Complexity Results and an Efficient Solution for Connected Multi-Agent Path Finding
Isseïnie Calviac, Ocan Sankur and Francois Schwarzentruber

Strategyproof Social Decision Schemes on Super Condorcet Domains
Felix Brandt, Patrick Lederer and Sascha Tausch

FedFormer: Contextual Federation with Attention in Reinforcement Learning
Liam Hebert, Lukasz Golab, Pascal Poupart and Robin Cohen

Non-Obvious Manipulability for Single-Parameter Agents and Bilateral Trade
Thomas Archbold, Bart de Keijzer and Carmine Ventre

Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning
Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja and Milind Tambe

Separating and Collapsing Electoral Control Types
Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David Narváez, Conor Taliancich and Henry B. Welles

Inferring Player Location in Sports Matches: Multi-Agent Spatial Imputation from Limited Observations
Greg Everett, Ryan Beal, Tim Matthews, Joseph Early, Timothy Norman and Sarvapali Ramchurn

Assigning Agents to Increase Network-Based Neighborhood Diversity
Zirou Qiu, Andrew Yuan, Chen Chen, Madhav Marathe, S.S. Ravi, Daniel Rosenkrantz, Richard Stearns and Anil Vullikanti

Byzantine Resilience at Swarm Scale: A Decentralized Blocklist from Inter-robot Accusations
Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru and Wenchao Li

Learning Parameterized Families of Games
Madelyn Gatchel and Bryce Wiedenbeck

Price of Anarchy for First Price Auction with Risk-Averse Bidders
Zhiqiang Zhuang, Kewen Wang and Zhe Wang

Stigmergy-based, Dual-Layer Coverage of Unknown Regions
Ori Rappel, Michael Amir and Alfred Bruckstein

Structural Credit Assignment-Guided Coordinated MCTS: An Efficient and Scalable Method for Online Multiagent Planning
Qian Che, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An, Wanyuan Wang and Yichuan Jiang

Get It in Writing: Formal Contracts Mitigate Social Dilemmas in Multi-Agent RL
Phillip J.K. Christoffersen, Andreas Haupt and Dylan Hadfield-Menell

EXPODE: EXploiting POlicy Discrepancy for Efficient Exploration in Multi-agent Reinforcement Learning
Yucong Zhang and Chao Yu

Is Nash Equilibrium Approximator Learnable?
Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang and Xiaotie Deng

Provable Optimization of Quantal Response Leader-Follower Games with Exponentially Large Action Spaces
Jinzhao Li, Daniel Fink, Christopher Wood, Carla P. Gomes and Yexiang Xue

AC2C: Adaptively Controlled Two-Hop Communication for Multi-Agent Reinforcement Learning
Xuefeng Wang, Xinran Li, Jiawei Shao and Jun Zhang

Diverse Policy Optimization for Structured Action Space
Wenhao Li, Baoxiang Wang, Shanchao Yang and Hongyuan Zha

A Redistribution Framework for Diffusion Auctions
Sizhe Gu, Yao Zhang, Yida Zhao and Dengji Zhao

Mechanism Design for Improving Accessibility to Public Facilities
Hau Chan and Chenhao Wang

Axiomatic Analysis of Medial Centrality Measures
Wiktoria Kosny and Oskar Skibski

Online Influence Maximization under Decreasing Cascade Model
Fang Kong, Jize Xie, Baoxiang Wang, Tao Yao and Shuai Li

Multi-Agent Consensus-based Bundle Allocation for Multi-mode Composite Tasks
Gauthier Picard

A Deep Reinforcement Learning Approach for Online Parcel Assignment
Hao Zeng, Qiong Wu, Kunpeng Han, Junying He and Haoyuan Hu

Learning the Stackelberg Equilibrium in a Newsvendor Game
Nicolò Cesa-Bianchi, Tommaso Cesari, Takayuki Osogami, Marco Scarsini and Segev Wasserkrug

Online matching with delays and stochastic arrival times
Mathieu Mari, Michał Pawłowski, Runtian Ren and Piotr Sankowski

On the Complexity of the Two-Stage Majority Rule
Yongjie Yang

Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning
Bram Grooten, Ghada Sokar, Shibhansh Dohare, Elena Mocanu, Matthew Taylor, Mykola Pechenizkiy and Decebal Constantin Mocanu

A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning
Woojun Kim, Whiyoung Jung, Myungsik Cho and Youngchul Sung

The Role of Space, Density and Migration in Social Dilemmas
Jacques Bara, Fernando P. Santos and Paolo Turrini

A Logic of Only-Believing over Arbitrary Probability Distributions
Qihui Feng, Daxin Liu, Vaishak Belle and Gerhard Lakemeyer

Learning Graph-Enhanced Commander-Executor for Multi-Agent Navigation
Xinyi Yang, Shiyu Huang, Yiwen Sun, Yuxiang Yang, Chao Yu, Wei-Wei Tu, Huazhong Yang and Yu Wang

Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning
Woojun Kim and Youngchul Sung

Allocation Problem in Remote Teleoperation: Online Matching with Offline Reusable Resources and Delayed Assignments
Osnat Ackerman Viden, Yohai Trabelsi, Pan Xu, Karthik Abinav Sankararaman, Oleg Maksimov and Sarit Kraus

Fairness Driven Efficient Algorithms for Sequenced Group Trip Planning Query Problem
Napendra Solanki, Shweta Jain, Suman Banerjee and Yayathi Pavan Kumar S

Adapting Stable Matchings to Forced and Forbidden Pairs
Niclas Boehmer and Klaus Heeger

Node Conversion Optimization in Multi-hop Influence Networks
Jie Zhang, Yuezhou Lv and Zihe Wang

Model-Based Reinforcement Learning for Auto-Bidding in Display Advertising
Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li and Linjian Mo

Efficient Interactive Recommendation with Huffman Tree-based Policy Learning
Longxiang Shi, Zilin Zhang, Shoujin Wang, Binbin Zhou, Minghui Wu, Cheng Yang and Shijian Li

Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation
Yi Dong, Zhongguo Li, Xingyu Zhao, Zhengtao Ding and Xiaowei Huang

Safe Deep Reinforcement Learning by Verifying Task-Level Properties
Enrico Marchesini, Luca Marzari, Alessandro Farinelli and Christopher Amato

Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
Haochen Wu, Pedro Sequeira and David Pynadath

Mediated Multi-Agent Reinforcement Learning
Dmitry Ivanov, Ilya Zisman and Kirill Chernyshev

ML-MAS: a Hybrid AI Framework for Self-Driving Vehicles
Hilal Al Shukairi and Rafael C. Cardoso

Fairness in Participatory Budgeting via Equality of Resources
Jan Maly, Simon Rey, Ulle Endriss and Martin Lackner

Multi-agent Signalless Intersection Management with Dynamic Platoon Formation
Phuriwat Worrawichaipat, Enrico Gerding, Ioannis Kaparias and Sarvapali Ramchurn

(Arbitrary) Partial Communication
Rustam Galimullin and Fernando R. Velazquez-Quesada

Settling the Distortion of Distributed Facility Location
Aris Filos-Ratsikas, Panagiotis Kanellopoulos, Alexandros Voudouris and Rongsen Zhang

Bootstrapping Reinforcement Learning Agents with Local Experts
Paul Daoudi, Merwan Barlier, Ludovic Dos Santos, Christophe Prieur and Bogdan Robu

On Regret-optimal Cooperative Nonstochastic Multi-armed Bandits
Jialin Yi and Milan Vojnovic

Welfare and Fairness in Multi-objective Reinforcement Learning
Ziming Fan, Nianli Peng, Muhang Tian and Brandon Fain

Decentralized Safe Navigation for Multi-agent Systems via Risk-aware Weighted Buffered Voronoi Cells
Yiwei Lyu, John Dolan and Wenhao Luo

GANterfactual-RL: Understanding Reinforcement Learning Agents’ Strategies through Visual Counterfactual Explanations
Tobias Huber, Maximilian Demmler, Silvan Mertes, Matthew Olson and Elisabeth André

ReMER: Multi-agent Experience Replay via Regret Minimization
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani and Peng Wei

Model-based Sparse Communication in Multi-agent Reinforcement Learning
Shuai Han, Mehdi Dastani and Shihan Wang

Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
Ryan Kortvelesy, Steven Morad and Amanda Prorok

TransfQMix: Transformers for Leveraging the Graph Structure of Multi-Agent Reinforcement Learning Problems
Matteo Gallici, Mario Martin and Ivan Masmitja

Heterogeneous Multi-Robot Reinforcement Learning
Matteo Bettini, Ajay Shankar and Amanda Prorok

Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their Behavior
Kate Candon, Jesse Chen, Yoony Kim, Zoe Hsu, Nathan Tsoi and Marynel Vázquez

Trust Region Bounds for Decentralized PPO Under Non-stationarity
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann and Shimon Whiteson

Targeted Search Control in AlphaZero for Effective Policy Improvement
Alexandre Trudeau and Michael Bowling

Distributed Planning with Asynchronous Execution with Local Navigation for Multi-agent Pickup and Delivery Problem
Yuki Miyashita, Tomoki Yamauchi and Toshiharu Sugawara

IRS: An Incentive-compatible Reward Scheme for Algorand
Maizi Liao, Wojciech Golab and Seyed Majid Zahedi

Adversarial Link Prediction in Spatial Networks
Michał Tomasz Godziszewski, Yevgeniy Vorobeychik and Tomasz Michalak

HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare
Ge Gao, Song Ju, Markel Sanz Ausin and Min Chi

Toward Risk-based Optimistic Exploration for Cooperative Multi-Agent Reinforcement Learning
Jihwan Oh, Joonkee Kim, Minchan Jeong and Se-Young Yun

Sybil-Proof Diffusion Auction in Social Networks
Hongyin Chen, Xiaotie Deng, Ying Wang, Yue Wu and Dengji Zhao

Counter-Example Guided Policy Refinement in Multi-agent Reinforcement Learning
Briti Gangopadhyay, Pallab Dasgupta and Soumyajit Dey

Domain-Independent Deceptive Planning
Adrian Price, Ramon Fraga Pereira, Peta Masters and Mor Vered

ShelfHelp: Empowering Humans to Perform Vision-Independent Manipulation Tasks with a Socially Assistive Robotic Cane
Shivendra Agrawal, Suresh Nayak, Ashutosh Naik and Bradley Hayes

Stable Marriage in Euclidean Space
Yinghui Wen, Zhongyi Zhang and Jiong Guo

Mitigating Imminent Collision for Multi-robot Navigation: A TTC-force Reward Shaping Approach
Jinlin Chen, Jiannong Cao, Zhiqin Cheng and Wei Li

Gathering of Anonymous Agents
John Augustine, Arnhav Datar and Nischith Shadagopan M N

Equilibrium Bandits: Learning Optimal Equilibria of Unknown Dynamics
Siddharth Chandak, Ilai Bistritz and Nicholas Bambos

Altruism, Collectivism and Egalitarianism: On a Variety of Prosocial Behaviors in Binary Networked Public Goods Games
Jichen Li, Xiaotie Deng, Yukun Cheng, Yuqi Pan, Xuanzhi Xia, Zongjun Yang and Jan Xie

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills
Maxence Hussonnois, Thommen Karimpanal George and Santu Rana

Optimally Solving the Multiple Watchman Route Problem with Heuristic Search
Yaakov Livne, Dor Atzmon, Shawn Skyler, Eli Boyarski, Amir Shapiro and Ariel Felner

Prioritized Tasks Mining for Multi-Task Cooperative Multi-Agent Reinforcement Learning
Yang Yu, Qiyue Yin, Junge Zhang and Kaiqi Huang

A Deontic Logic of Knowingly Complying
Carlos Areces, Valentin Cassano, Pablo Castro, Raul Fervari and Andrés R. Saravia

On Subset Selection of Multiple Humans To Improve Human-AI Team Accuracy
Sagalpreet Singh, Shweta Jain and Shashi Shekhar Jha

Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models
Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza and Stephan Günnemann

Knowledge Compilation for Constrained Combinatorial Action Spaces in Reinforcement Learning
Jiajing Ling, Moritz Lukas Schuler, Akshat Kumar and Pradeep Varakantham

Avoiding Starvation of Arms in Restless Multi-Armed Bandits
Dexun Li and Pradeep Varakantham

CAMS: Collision Avoiding Max-Sum for Mobile Sensor Teams
Arseni Pertzovskiy, Roie Zivan and Noa Agmon

Distributed Mechanism Design in Social Networks
Haoxin Liu, Yao Zhang and Dengji Zhao

Free-Riding in Multi-Issue Decisions
Martin Lackner, Jan Maly and Oliviero Nardi

Preference-Aware Delivery Planning for Last-Mile Logistics
Qian Shao and Shih-Fen Cheng

Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration
Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu and Yu Wang

Less Is More: Refining Datasets for Offline Reinforcement Learning with Reward Machines
Haoyuan Sun and Feng Wu

k-prize Weighted Voting Game
Wei-Chen Lee, David Hyland, Alessandro Abate, Edith Elkind, Jiarui Gan, Julian Gutierrez, Paul Harrenstein and Michael Wooldridge

Computing the Best Policy That Survives a Vote
Andrei Constantinescu and Roger Wattenhofer

Being an Influencer is Hard: The Complexity of Influence Maximization in Temporal Graphs with a Fixed Source
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith and George Skretas

Fictitious Cross-Play: Learning Nash Equilibrium in Mixed Cooperative-Competitive Games
Zelai Xu, Yancheng Liang, Chao Yu, Yu Wang and Yi Wu

Voting by Axioms
Marie Christin Schmidtlein and Ulle Endriss

SAT-based Judgment Aggregation
Ari Conati, Andreas Niskanen and Matti Järvisalo

Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning
Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang and Yong Liu

Cost Sharing under Private Valuation and Connection Control
Tianyi Zhang, Dengji Zhao, Junyu Zhang and Sizhe Gu

Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation
Yushan Qian, Bo Wang, Shangzhao Ma, Wu Bin, Shuo Zhang, Dongming Zhao, Kun Huang and Yuexian Hou

Possible Fairness for Allocating Indivisible Resources
Haris Aziz, Bo Li, Shiji Xing and Yu Zhou

Learning Logic Specifications for Soft Policy Guidance in POMCP
Giulio Mazzi, Daniele Meli, Alberto Castellini and Alessandro Farinelli

Do Explanations Improve the Quality of AI-assisted Human Decisions? An Algorithm-in-the-Loop Analysis of Factual & Counterfactual Explanations
Lujain Ibrahim, Mohammad M. Ghassemi and Tuka Alhanai

Best of Both Worlds: Agents with Entitlements
Martin Hoefer, Marco Schmalhofer and Giovanna Varricchio

Risk-Constrained Planning for Multi-Agent Systems with Shared Resources
Anna Gautier, Marc Rigter, Bruno Lacerda, Nick Hawes and Michael Wooldridge

Playing to Learn, or to Keep Secret: Alternating-Time Logic Meets Information Theory
Masoud Tabatabaei and Wojciech Jamroga

Contextual Integrity for Argumentation-based Privacy Reasoning
Gideon Ogunniye and Nadin Kokciyan

Explicit Payments for Obviously Strategyproof Mechanisms
Diodato Ferraioli and Carmine Ventre

Agent-Based Modeling of Human Decision-makers Under Uncertain Information During Supply Chain Shortages
Nutchanon Yongsatianchot, Noah Chicoine, Jacqueline Griffin, Ozlem Ergun and Stacy Marsella

Efficient Nearly-Fair Division with Capacity Constraints
Hila Shoshan, Noam Hazon and Erel Segal-Halevi

M3: Modularization for Multi-task and Multi-agent Offline Pre-training
Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing and Bo Xu

Debt Transfers in Financial Networks: Complexity and Equilibria
Panagiotis Kanellopoulos, Maria Kyropoulou and Hao Zhou

Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning
Junqi Qian, Paul Weng and Chenmien Tan

Asymptotic Convergence and Performance of Multi-Agent Q-learning Dynamics
Aamal Hussain, Francesco Belardinelli and Georgios Piliouras

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement
Xuhui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang and Yang Yu

Populism in elections: Hotelling-Downs game for strategic candidacy with binary issues
Javier Maass, Vincent Mousseau and Anaëlle Wilczynski

Epistemic Abstract Argumentation Framework: Formal Foundations, Computation and Complexity
Gianvincenzo Alfano, Sergio Greco, Francesco Parisi and Irina Trubitsyna

A Map of Diverse Synthetic Stable Roommates Instances
Niclas Boehmer, Klaus Heeger and Stanisław Szufa

Predicting privacy preferences for smart devices as norms
Marc Serramia, William Seymour, Natalia Criado and Michael Luck

ExPoSe: Combining State-Based Exploration with Gradient-Based Online Search
Dixant Mittal, Siddharth Aravindan and Wee Sun Lee

Generating Stylistic and Personalized Dialogues for Virtual Agents in Narratives
Weilai Xu, Fred Charles and Charlie Hargood

Dec-AIRL: Decentralized Adversarial IRL for Human-Robot Teaming
Prasanth Sengadu Suresh, Yikang Gui and Prashant Doshi

Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
Sangwon Seo, Bing Han and Vaibhav V Unhelkar

Improved EFX approximation guarantees under ordinal-based assumptions
Evangelos Markakis and Christodoulos Santorinaios

Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
The Viet Bui, Tien Mai and Thanh Nguyen

MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility
Zhaori Guo, Timothy Norman and Enrico Gerding

Semi-Autonomous Systems with Contextual Competence Awareness
Saaduddin Mahmud, Connor Basich and Shlomo Zilberstein

Reducing Racial Bias by Interacting with Virtual Agents: An Intervention in Virtual Reality
David Obremski, Ohenewa Bediako Akuffo, Leonie Lücke, Miriam Semineth, Sarah Tomiczek, Hanna-Finja Weichert and Birgit Lugrin

Formally-Sharp DAgger for MCTS: Lower-Latency Monte Carlo Tree Search using Data Aggregation with Formal Methods
Debraj Chakraborty, Damien Busatto-Gaston, Jean-François Raskin and Guillermo Perez

Strategic (Timed) Computation Tree Logic
Jaime Arias, Wojciech Jamroga, Wojciech Penczek, Laure Petrucci and Teofil Sidoruk

CoRaL: Continual Representation Learning for Overcoming Catastrophic Forgetting
Mohammad Yasar and Tariq Iqbal

Data Structures for Deviation Payoffs
Bryce Wiedenbeck and Erik Brinkman

Signifiers as a First-class Abstraction in Hypermedia Multi-Agent Systems
Danai Vachtsevanou, Andrei Ciortea, Simon Mayer and Jérémy Lemée

Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games
Sumedh Pendurkar, Chris Chow, Luo Jie and Guni Sharon

The Benefits of Power Regularization in Cooperative Reinforcement Learning
Michelle Li and Michael Dennis

Simulating panic amplification in crowds via a density-emotion interaction
Erik van Haeringen and Charlotte Gerritsen

Multiplicative Weights Updates for Extensive Form Games
Chirag Chhablani, Michael Sullins and Ian Kash

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire Tomlin and David Fridovich-Keil

A Comparison of New Swarm Task Allocation Algorithms in Unknown Environments with Varying Task Density
Grace Cai, Noble Harasha and Nancy Lynch

Should my agent lie for me? A study on humans’ attitudes towards deceptive AI
Stefan Sarkadi, Peidong Mei and Edmond Awad

IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas
Bengisu Guresti, Abdullah Vanlioglu and Nazim Kemal Ure

Modelling Agent Decision Making in Agent-based Simulation – Analysis Using an Economic Technology Uptake Model
Franziska Klügl and Hildegunn Kyvik Nordås

Worst-Case Adaptive Submodular Cover
Jing Yuan and Shaojie Tang

Agent-directed runtime norm synthesis
Andreasa Morris Martin, Marina De Vos, Julian Padget and Oliver Ray

Quantitative Planning with Action Deception in Concurrent Stochastic Games
Chongyang Shi, Shuo Han and Jie Fu

MAIDS – a Framework for the Development of Multi-Agent Intentional Dialogue Systems
Débora Cristina Engelmann, Alison R. Panisson, Renata Vieira, Jomi Fred Hübner, Viviana Mascardi and Rafael H. Bordini

A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning
John Hostetter, Mark Abdelshiheed, Tiffany Barnes and Min Chi

SocialLight: Distributed Cooperation Learning towards Network-Wide Traffic Signal Control
Harsh Goel, Yifeng Zhang, Mehul Damani and Guillaume Sartoretti

Decentralized core-periphery structure in social networks accelerates cultural innovation in agent-based modeling
Jesse Milzman and Cody Moser

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé and Bruno C. da Silva

Energy-aware UAV Path Planning with Adaptive Speed
Jonathan Diller and Qi Han

Learning Inter-Agent Synergies in Asymmetric Multiagent Systems
Gaurav Dixit and Kagan Tumer

Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks
Mohammad Mohammadi, Jonathan Nöther, Debmalya Mandal, Adish Singla and Goran Radanovic

Coordination of Multiple Robots along Given Paths with Bounded Junction Complexity
Mikkel Abrahamsen, Tzvika Geft, Dan Halperin and Barak Ugav

Attention! A Dynamic Epistemic Logic Model for Inattentive Agents
Gaia Belardinelli and Thomas Bolander

Joint Engagement Classification using Video Augmentation Techniques for Multi-person HRI in the wild
Yubin Kim, Huili Chen, Sharifa Algohwinem, Cynthia Breazeal and Hae Won Park

Learning Properties in Simulation-Based Games
Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueria and Amy Greenwald

The Distortion of Approval Voting with Runoff
Soroush Ebadian, Mohamad Latifian and Nisarg Shah

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson and Katherine Driggs-Campbell

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks
Arpita Biswas, Jackson Killian, Paula Rodriguez Diaz, Susobhan Ghosh and Milind Tambe

A Hybrid Framework of Reinforcement Learning and Physics-Informed Deep Learning for Spatiotemporal Mean Field Games
Xu Chen, Shuo Liu and Xuan Di

Intelligent Onboard Routing in Stochastic Dynamic Environments using Transformers
Rohit Chowdhury, Raswanth Murugan and Deepak Subramani

Model-based Dynamic Shielding for Safe and Efficient Multi-agent Reinforcement Learning
Wenli Xiao, Yiwei Lyu and John Dolan

Learning to Coordinate from Offline Datasets with Uncoordinated Behavior Policies
Jinming Ma and Feng Wu

Towards Computationally Efficient Responsibility Attribution in Decentralized Partially Observable MDPs
Stelios Triantafyllou and Goran Radanovic

Synthesis of Resource-Aware Controllers Against Rational Agents
Rodica Condurache, Catalin Dima, Youssouf Oualhadj and Nicolas Troquard

Computationally Feasible Strategies
Catalin Dima and Wojtek Jamroga

Facility Location Games with Thresholds
Houyu Zhou, Guochuan Zhang, Lili Mei and Minming Li

The Grapevine Web: Analysing the Spread of False Information in Social Networks with Corrupted Sources
Jacques Bara, Charlie Pilgrim, Paolo Turrini and Stanislav Zhydkov

Multi-Agent Reinforcement Learning with Safety Layer for Active Voltage Control
Yufeng Shi, Mingxiao Feng, Minrui Wang, Wengang Zhou and Houqiang Li

Main Track: Extended Abstracts

For One and All: Individual and Group Fairness in the Allocation of Indivisible Goods
Jonathan Scarlett, Nicholas Teh and Yair Zick

Safety Guarantees in Multi-agent Learning via Trapping Regions
Aleksander Czechowski and Frans Oliehoek

Neuro-Symbolic World Models for Adapting to Open World Novelty
Jonathan Balloch, Zhiyu Lin, Robert Wright, Mustafa Hussain, Aarun Srinivas, Xiangyu Peng, Julia Kim and Mark Riedl

Evaluating a mechanism for explaining BDI agent behaviour
Michael Winikoff and Galina Sidorenko

Matching Algorithms under Diversity-Based Reservations
Haris Aziz, Sean Morota Chu and Zhaohong Sun

Asynchronous Communication Aware Multi-Agent Task Allocation
Ben Rachmut, Sofia Amador Nelke and Roie Zivan

Agent-based Simulation of District-based Elections with Heterogeneous Populations
Adway Mitra

Multi-Agent Deep Reinforcement Learning for High-Frequency Multi-Market Making
Pankaj Kumar

TA-Explore: Teacher-Assisted Exploration for Facilitating Fast Reinforcement Learning
Ali Beikmohammadi and Sindri Magnússon

Social Mechanism Design: A Low-Level Introduction
Benjamin Abramowitz and Nicholas Mattei

Online 2-stage Stable Matching
Evripidis Bampis, Bruno Escoffier and Paul Youssef

Towards Robust Contrastive Explanations for Human-Neural Multi-agent Systems
Francesco Leofante and Alessio Lomuscio

Proportional Fairness in Obnoxious Facility Location
Haris Aziz, Alexander Lam, Bo Li, Fahimeh Ramezani and Toby Walsh

Which way is `right’?: Uncovering limitations of Vision-and-Language Navigation models
Meera Hahn, James M. Rehg and Amit Raj

Provably Efficient Offline RL with Options
Xiaoyan Hu and Ho-fung Leung

Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Varun Madhavan, Adway Mitra and Partha Pratim Chakrabarti

TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations
Zixuan Chen, Wenbin Li, Yang Gao and Yiyu Chen

Off-Beat Multi-Agent Reinforcement Learning
Wei Qiu, Weixun Wang, Rundong Wang, Bo An, Yujing Hu, Svetlana Obraztsova, Zinovi Rabinovich, Jianye Hao, Yingfeng Chen and Changjie Fan

Strategic Play By Resource-Bounded Agents in Security Games
Xinming Liu and Joseph Halpern

Distortion in Attribute Approval Committee Elections
Dorothea Baumeister and Linus Boes

AJAR: An Argumentation-based Judging Agents Framework for Ethical Reinforcement Learning
Benoît Alcaraz, Olivier Boissier, Rémy Chaput and Christopher Leturc

Multi-Agent Reinforcement Learning for Fast-Timescale Demand Response of Residential Loads
Vincent Mai, Philippe Maisonneuve, Tianyu Zhang, Hadi Nekoei, Liam Paull and Antoine Lesage Landry

Classes of Explanations for the Verification Problem in Abstract Argumentation
Sylvie Doutre, Théo Duchatelle and Marie-Christine Lagasquie-Schiex

The Swiss Gambit
Ágnes Cseh, Pascal Führlich and Pascal Lenzner

Neural Stochastic Agent-Based Limit Order Book Simulation: A Hybrid Methodology
Zijian Shi and John Cartlidge

Relaxations of Envy-Freeness Over Graphs
Justin Payan, Rik Sengupta and Vignesh Viswanathan

Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis
Yongzhao Wang and Michael Wellman

Fairly Allocating (Contiguous) Dynamic Indivisible Items with Few Adjustments
Mingwei Yang

Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor and Chen Tessler

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
Matthias Gerstgrasser, Tom Danino and Sarah Keren

A Decentralized Agent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing
Yikun Yang, Fenghui Ren and Minjie Zhang

The challenge of redundancy on multi-agent value factorisation
Siddarth Singh and Benjamin Rosman

Measuring a Priori Voting Power – Taking Delegations Seriously
Rachael Colley, Théo Delemazure and Hugo Gilbert

Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies
Mohamed Ouaguenouni, Hugo Gilbert, Meltem Ozturk and Olivier Spanjaard

Thou Shalt not Pick all Items if Thou are First: of Strategyproof and Fair Picking Sequences
Sylvain Bouveret, Hugo Gilbert, Jérôme Lang and Guillaume Méroué

AIMD-based federated optimization: A non-homogeneous Markov chain model for communication-efficient multi-resource allocation
Syed Eqbal Alam, Jia Yuan Yu and Jakub Marecek

Learning to Manipulate a Financial Benchmark
Megan Shearer, Gabriel Rauterberg and Michael Wellman

Learning Manner of Execution from Partial Corrections
Mattias Appelgren and Alex Lascarides

A Scalable Opponent Model Using Bayesian Learning for Automated Bilateral Multi-Issue Negotiation
Shengbo Chang and Katsuhide Fujita

A Knowledge Flow Empowered Cognitive Framework for Decision Making with Task-Agnostic Data Regulation
Liming Huang, Yulei Wu and Niccolò Tempini

Incentivizing Sequential Crowdsourcing Systems
Yuan Luo

From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots
Yu Zhang

An Adversarial Strategic Game for Machine Learning as a Service using System Features
Guoxin Sun, Tansu Alpcan, Andrew Cullen, Seyit Camtepe and Benjamin Rubinstein

Optimizing Crop Management with Reinforcement Learning and Imitation Learning
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harirson, Carla Ferreira, Zahra Kalantari and Naira Hovakimyan

No-regret Learning Dynamics for Sequential Correlated Equilibria
Hugh Zhang

Transformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning
Namyeong Lee and Jun Moon

Idleness Estimation for Distributed Multiagent Patrolling Strategies
Mehdi Othmani-Guibourg, Jean-Loup Farges and Amal El Fallah Seghrouchni

Minimising Task Tardiness for Multi-Agent Pickup and Delivery
Saravanan Ramanathan, Yihao Liu, Xueyan Tang, Wentong Cai and Jingning Li

Co-evolution of social and non-social guilt in structured populations
Theodor Cimpeanu, Luís Moniz Pereira and The Anh Han

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games
Zun Li, Marc Lanctot, Kevin McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael Wellman and Paul Muller

Grey-box Adversarial Attack on Communication in Multi-agent Reinforcement Learning
Xiao Ma and Wu-Jun Li

A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid
Stavros Orfanoudakis and Georgios Chalkiadakis

Simpler rather than Challenging Data: Multi-User Activity Recognition through Transfer Learning for Human-Robot Collaboration
Francesco Semeraro, Jon Carberry and Angelo Cangelosi

Reward-Machine-Guided, Self-Paced Reinforcement Learning
Cevahir Koprulu and Ufuk Topcu

Probabilistic Deduction as a Probabilistic Extension of Assumption-based Argumentation
Xiuyi Fan

Centralized Cooperative Exploration Policy for Continuous Control Tasks
Chao Li, Chen Gong, Xinwen Hou, Yu Liu and Qiang He

Learning to Self-Reconfigure for Freeform Modular Robots via Altruism Multi-Agent Reinforcement Learning
Lei Wu, Bin Guo, Qiuyun Zhang, Zhuo Sun, Jieyi Zhang and Zhiwen Yu

Sampling-Based Winner Prediction in District-Based Elections
Debajyoti Kar, Palash Dey and Swagato Sanyal

Decentralized Multi-agent Coordination under MITL Specifications and Communication Constraints
Wei Wang, Georg Friedrich Schuppe and Jana Tumova

Cedric: A Collaborative DDoS Defense System Using Credit
Jiawei Li, Hui Wang and Jilong Wang

What Do You Care About: Inferring Values from Emotions
Jieting Luo, Mehdi Dastani, Thomas Studer and Beishui Liao

Social Aware Coalition Formation with Bounded Coalition Size
Chaya Levinger, Amos Azaria and Noam Hazon

Bayes-Adaptive Online Monte-Carlo Planning for Type-Based Reasoning in Large Partially Observable, Multi-Agent Environments
Jonathon Schwartz and Hanna Kurniawati

Fair Pricing for Time-Flexible Smart Energy Markets
Roland Saur, Han La Poutré and Neil Yorke-Smith

Budget-Feasible Mechanism Design for Cost-Benefit Optimization in Gradual Service Procurement
Farzaneh Farhadi, Maria Chli and Nicholas R. Jennings

Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning
Chaitanya Kharyal, Tanmay Sinha, Sai Krishna Gottipati, Fatemeh Abdollahi, Srijita Das and Matthew Taylor

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
Jizhou Wu, Tianpei Yang, Xiaotian Hao, Jianye Hao, Yan Zheng, Weixun Wang and Matthew E. Taylor

AI-driven Prices for Externalities and Sustainability in Production Markets
Panayiotis Danassis, Aris Filos-Ratsikas, Haipeng Chen, Milind Tambe and Boi Faltings

Learning Multiple Tasks with Non-stationary Interdependencies in Autonomous Robots
Alejandro Romero, Gianluca Baldassarre, Richard Duro and Vieri Giuliano Santucci

LEAD: Min-Max Optimization from a Physical Perspective
Reyhane Askari Hemmat, Amartya Mitra, Guillaume Lajoie and Ioannis Mitliagkas

A Lattice Model of 3D Environments For Provable Manipulation
John Harwell, London Lowmanstone and Maria Gini

`Why didn’t you allocate this task to them?’ Negotiation-Aware Explicable Task Allocation and Contrastive Explanation Generation
Zahra Zahedi, Sailik Sengupta and Subbarao Kambhampati

HoLA Robots: Mitigating Plan-Deviation Attacks in Multi-Robot Systems with Co-Observations and Horizon-Limiting Announcements
Kacper Wardega, Max von Hippel, Roberto Tron, Cristina Nita-Rotaru and Wenchao Li

Two Level Actor-Critic Using Multiple Teachers
Su Zhang, Srijita Das, Sriram Ganapathi Subramanian and Matthew E. Taylor

Repeatedly Matching Items to Agents Fairly and Efficiently
Shivika Narang and Ioannis Caragiannis

Online Re-Planning and Adaptive Parameter Update for Multi-Agent Path Finding with Stochastic Travel Times
Atsuyoshi Kita, Nobuhiro Suenari, Masashi Okada and Tadahiro Taniguchi

Representation-based Individual Fairness in k-clustering
Debajyoti Kar, Mert Kosan, Debmalya Mandal, Sourav Medya, Arlei Silva, Palash Dey and Swagato Sanyal

Explaining agent preferences and behavior: integrating reward decomposition and contrastive highlights
Yael Septon, Yotam Amitai and Ofra Amir

MAFrameworkX – A RL-driven multi-agent framework to model complex systems
Leo Ardon, Jared Vann, Deepeka Garg, Thomas Spooner and Sumitra Ganesh

Learning Individual Difference Rewards in Multi-Agent Reinforcement Learning
Chen Yang, Guangkai Yang and Junge Zhang

Fair Facility Location for Socially Equitable Representation
Helen Sternbach and Sara Cohen

Blame Attribution for Multi-Agent Pathfinding Execution Failures
Avraham Natan, Roni Stern and Meir Kalech

Simulation Model with Side Trips at a Large-Scale Event
Ryo Niwa, Shunki Takami, Shusuke Shigenaka, Masaki Onishi, Wataru Naito and Tetsuo Yasutaka

Explanation Styles for Trustworthy Autonomous Systems
David Robb, Xingkun Liu and Helen Hastie

The complexity of minimizing envy in house allocation
Jayakrishnan Madathil, Neeldhara Misra and Aditi Sethia

S&F: Sources and Facts Reliability Evaluation Method
Quentin Elsaesser, Patricia Everaere and Sébastien Konieczny

Learning to Perceive in Deep Model-Free Reinforcement Learning
Gonçalo Querido, Alberto Sardinha and Francisco Melo

Error in the Euclidean Preference Model
Luke Thorburn, Maria Polukarov and Carmine Ventre

RTransNav:Relation-wise Transformer Network for More Successful Object Goal Navigation
Kang Zhou, Chi Guo, Huyin Zhang and Wenfei Guo

SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding
Yutong Wang, Bairan Xiang, Shinan Huang and Guillaume Sartoretti

Multi-Agent Pickup and Delivery in Presence of Another Team of Robots
Benedetta Flammini, Davide Azzalini and Francesco Amigoni

Analysis of a Learning Based Algorithm for Budget Pacing
Max Springer and Mohammadtaghi Hajiaghayi

Learning Group-Level Information Integration in Multi-Agent Communication
Xiangrui Meng and Ying Tan

Modeling the Interpretation of Animations to Help Improve Emotional Expression
Taíssa Ribeiro, Ricardo Rodrigues and Carlos Martinho

Artificial prediction markets present a novel opportunity for human-AI collaboration
Tatiana Chakravorti, Vaibhav Singh, Michael McLaughlin, Robert Fraleigh, Christopher Griffin, Anthony Kwasnica, David Pennock, C. Lee Giles and Sarah Rajtmajer

Learnability with PAC Semantics for Multi-agent Beliefs
Ionela Mocanu, Vaishak Belle and Brendan Juba

The Price of Algorithmic Pricing: Investigating Collusion in a Market Simulation with AI Agents
Michael Schlechtinger, Damaris Kosack, Heiko Paulheim, Thomas Fetzer and Franz Krause

Learning Normative Behaviour with Violation Management
Emery A. Neufeld

Improving Cooperative Multi-Agent Exploration via Surprise Minimization and Social Influence Maximization
Mingyang Sun, Yaqing Hou, Jie Kang, Haiyin Piao, Yifeng Zeng, Hongwei Ge and Qiang Zhang

Distance Hypergraph Polymatrix Coordination Games
Alessandro Aloisio

A Semantic Approach to Decidability in Epistemic Planning
Alessandro Burigana, Paolo Felli, Marco Montali and Nicolas Troquard

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO
Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu and Phillip Isola

Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasks
Jesús Bujalance Martín and Fabien Moutarde

Learning to Operate in Open Worlds by Adapting Planning Models
Wiktor Piotrowski, Roni Stern, Yoni Sher, Jacob Le, Matthew Klenk, Johan de Kleer and Shiwali Mohan

End-to-End Optimization and Learning for Multiagent Ensembles
James Kotary, Vincenzo Di Vito and Ferdinando Fioretto

Optimal Decoy Resource Allocation for Proactive Defense in Probabilistic Attack Graphs
Haoxiang Ma, Shuo Han, Nandi Leslie, Charles Kamhoua and Jie Fu

Forward-PECVaR Algorithm: Exact Evaluation for CVaR SSPs
Willy Reis, Denis Pais, Valdinei Freire and Karina Delgado

Referential communication in heterogeneous communities of pre-trained visual deep networks
Matéo Mahaut, Roberto Dessì, Francesca Franzon and Marco Baroni

Explainable Ensemble Classification Model based on Argumentation
Nadia Abchiche-Mimouni, Leila Amgoud and Farida Zehraoui

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang and Qi Zhu

Causal Explanations for Sequential Decision Making Under Uncertainty
Samer Nashed, Saaduddin Mahmud, Claudia Goldman and Shlomo Zilberstein

Finding Optimal Nash Equilibria in Multiplayer Games via Correlation Plans
Youzhi Zhang, Bo An and V.S. Subrahmanian

A Learning Approach to Complex Contagion Influence Maximization
Haipeng Chen, Bryan Wilder, Wei Qiu, Bo An, Eric Rice and Milind Tambe

Search versus Search for Collapsing Electoral Control Types
Benjamin Carleton, Michael C. Chavrimootoo, Lane A. Hemaspaandra, David Narváez, Conor Taliancich and Henry B. Welles

Pandering in a (Flexible) Representative Democracy
Xiaolin Sun, Jacob Masur, Benjamin Abramowitz, Nicholas Mattei and Zizhan Zheng

Diffusion Multi-unit Auctions with Diminishing Marginal Utility Buyers
Haolin Liu, Xinyuan Lian and Dengji Zhao

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework
Licheng Wen, Pinlong Cai, Daocheng Fu, Song Mao and Yikang Li

Improving Quantal Cognitive Hierarchy Model Through Iterative Population Learning
Yuhong Xu, Shih-Fen Cheng and Xinyu Chen

How do players reason in ‘cops and robber’ game?
Dazhu Li, Sujata Ghosh and Fenrong Liu

Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization
Xiangsen Wang and Xianyuan Zhan

Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization
Nasik Muhammad Nafi, Raja Farrukh Ali and William Hsu

Learning Optimal “Pigovian Tax” in Sequential Social Dilemmas
Yun Hua, Shang Gao, Wenhao Li, Bo Jin, Xiangfeng Wang and Hongyuan Zha

CoNet: Complementary Encoding Networks for Solving Combinatorial Problems on Graphs
Yan Jin, Yuandong Ding, Shuang Wu, Kun He, Junchi Yan, Jiang Bian and Lei Song

Resilient Fair Allocation of Indivisible Goods
Dolev Mutzari, Yonatan Aumann and Sarit Kraus

Loss of Distributed Coverage Using Lazy Agents Operating Under Discrete, Local, Event-Triggered Communication
Edward Vickery and Aditya Paranjape

Near Optimal Strategies for Honeypots Placement in Dynamic and Large Active Directory Networks
Quang Huy Ngo, Mingyu Guo and Hung Nguyen

Hierarchical Reinforcement Learning with Human-AI Collaborative Sub-Goals Optimization
Haozhe Ma, Thanh Vinh Vo and Tze Yun Leong

Multi-Team Fitness Critics For Robust Teaming
Joshua Cook, Tristan Scheiner and Kagan Tumer

Matching Options to Tasks using Option-Indexed Hierarchical Reinforcement Learning
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Aniruddha S, Balaraman Ravindran and Pradeep Shenoy

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Wenze Chen, Shiyu Huang, Yuan Chiang, Ting Chen and Jun Zhu

A Nash-Bargaining-Based Mechanism for One-Sided Matching Markets under Dichotomous Utilities
Jugal Garg, Thorben Tröbst and Vijay Vazirani

Differentially Private Diffusion Auction: The Single-unit Case
Fengjuan Jia, Mengxiao Zhang, Jiamou Liu and Bakh Khoussainov

A qualitative approach to doxastic causal reasoning
Kaibo Xie, Qingyu He and Fenrong Liu

Accelerating Neural MCTS Algorithms using Neural Sub-Net Structures
Prashank Kadam, Ruiyang Xu and Karl Lieberherr

Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation
Jing Dong, Li Shen, Yinggan Xu and Baoxiang Wang

Crowd simulation incorporating a route choice model and reproducibility evaluation using real large-scale data
Ryo Nishida, Masaki Onishi and Koichi Hashimoto

Updating Action Descriptions and Plans for Cognitive Agents
Peter Stringer, Rafael C. Cardoso, Clare Dixon, Michael Fisher and Louise Dennis

Learning in teams: peer evaluation for fair assessment of individual contributions
Fedor Duzhin

Argument-based Explanation Functions
Leila Amgoud, Philippe Muller and Henri Trenquier

Achieving near-optimal regrets in confounded contextual bandits
Xueping Gong and Jiheng Zhang

A Novel Demand Response Model and Method for Peak Reduction in Smart Grids — PowerTAC
Sanjay Chandlekar, Arthik Boroju, Shweta Jain and Sujit Gujar

PACCART: Reinforcing Trust in Multiuser Privacy Agreement Systems
Daan Di Scala and Pinar Yolum

Capturing Hiders with Moving Obstacles
Ayushman Panda and Kamalakar Karlapalem

Context-aware agents based on Psychological Archetypes for Teamwork
Anupama Arukgoda, Erandi Lakshika, Michael Barlow and Kasun Gunawardana

SE4AI issues on Designing a Social Media Agent: Agile Use Case design for Behavioral Game Theory
Francisco Marcondes, José João Almeida and Paulo Novais

ScriptWorld: Text Based Environment For Learning Procedural Knowledge
Abhinav Joshi, Areeb Ahmad, Umang Pandey and Ashutosh Modi

Transfer Learning based Agent for Automated Negotiation
Siqi Chen, Qisong Sun, Heng You, Tianpei Yang and Jianye Hao

Shopping Assistance for Everyone: Dynamic Query Generation On a Semantic Digital Twin As a Basis for Autonomous Shopping Assistance
Michaela Kümpel, Jonas Dech, Alina Hawkin and Michael Beetz

Stability of Weighted Majority Voting under Estimated Weights
Shaojie Bai, Dongxia Wang, Muller Tim, Peng Cheng and Jiming Chen

COBAI : a generic agent-based model of human behaviors centered on contexts and interactions
Maëlle Beuret, Irene Foucherot, Christian Gentil and Joël Savelli

Personalized Agent Explanations for Human-Agent Teamwork: Adapting Explanations to User Trust, Workload, and Performance
Ruben Verhagen, Mark Neerincx, Can Parlar, Marin Vogel and Myrthe Tielman

Indivisible Participatory Budgeting with Multiple Degrees of Sophistication of Projects
Gogulapati Sreedurga

Learning Solutions in Large Economic Networks using Deep Multi-Agent Reinforcement Learning
Michael Curry, Alexander Trott, Soham Phade, Yu Bai and Stephan Zheng

The Parameterized Complexity of Welfare Guarantees in Schelling Segregation
Argyrios Deligkas, Eduard Eiben and Tiger-Lily Goldsmith

Hierarchical Reinforcement Learning with Attention Reward
Sihong Luo, Jinghao Chen, Zheng Hu, Chunhong Zhang and Benhui Zhuang

Explain to Me: Towards Understanding Privacy Decisions
Gonul Ayci, Arzucan Ozgur, Murat Sensoy and Pinar Yolum

Opinion Dynamics in Populations of Converging and Polarizing Agents
Anshul Toshniwal and Fernando P. Santos

A Teachable Agent to Enhance Elderly’s Ikigai
Ping Chen, Xinjia Yu, Su Fang Lim and Zhiqi Shen

Towards multi-agent learning of causal networks
Stefano Mariani, Franco Zambonelli and Pasquale Roseti

FedHQL: Federated Heterogeneous Q-Learning
Flint Xiaofeng Fan, Yining Ma, Zhongxiang Dai, Cheston Tan and Bryan Kian Hsiang Low

A Formal Framework for Deceptive Topic Planning in Information-Seeking Dialogues
Andreas Brännström, Virginia Dignum and Juan Carlos Nieves

Fair Chore Division under Binary Supermodular Costs
Siddharth Barman, Vishnu Narayan and Paritosh Verma

Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning
Seán Caulfield Curley, Karl Mason and Patrick Mannion

Off-the-Grid MARL: Datasets and Baselines for Offline Multi-Agent Reinforcement Learning
Juan Claude Formanek, Asad Jeewa, Arnu Pretorius and Jonathan Shock

Model-Based Actor-Critic for Multi-Objective Reinforcement Learning with Dynamic Utility Functions
Johan Källström and Fredrik Heintz

On the Uniqueness of Nash Equilibria in Polymatrix Games
James Bailey

Deliberation as Evidence Disclosure: A Tale of Two Protocol Types
Julian Chingoma and Adrian Haret

How Does Fairness Affect the Complexity of Gerrymandering?
Sandip Banerjee, Rajesh Chitnis and Abhiruk Lahiri

Towards Genuine Robot Teammates: Improving Human-Robot Team Performance with Proactivity and Shared Mental Models
Gwen Edgar, Matthias Scheutz and Matthew Mcwilliams

Counterfactually Fair Dynamic Assignment: A Case Study on Policing
Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala and Sanmay Das

Relaxed Exploration Constrained Reinforcement Learning
Shahaf Shperberg, Bo Liu and Peter Stone

Single-Peaked Jump Schelling Games
Tobias Friedrich, Pascal Lenzner, Louise Molitor and Lars Seifert

Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Model
Khaing Phyo Wai, Minghong Geng, Budhitama Subagdja, Shubham Pateria and Ah-Hwee Tan

The Resilience Game: A New Formalization of Resilience for Groups of Goal-Oriented Autonomous Agents
Michael A. Goodrich, Jennifer Leaf, Julie A. Adams and Matthias Scheutz

Multi-Agent Path Finding via Reinforcement Learning with Hybrid Reward
Cheng Zhao, Liansheng Zhuang, Haonan Liu, Yihong Huang and Yang Jian

Learning Constraints From Human Stop-feedback in Reinforcement Learning
Silvia Poletti, Alberto Testolin and Sebastian Tschiatschek

Individual-Fair and Group-Fair Social Choice Rules under Single-Peaked Preferences
Gogulapati Sreedurga, Soumyarup Sadhukhan, Souvik Roy and Yadari Narahari

Causality Detection for Efficient Multi-Agent Reinforcement Learning
Rafael Pina, Varuna De Silva and Corentin Artaud

Maximin share Allocations for Assignment Valuations
Pooja Kulkarni, Rucha Kulkarni and Ruta Mehta

Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Peter Sunehag, Alexander Vezhnevets, Edgar Duéñez-Guzmán, Igor Mordatch and Joel Leibo

Defining deception in structural causal games
Francis Rhys Ward, Francesco Belardinelli and Francesca Toni

Game Model Learning for Mean Field Games
Yongzhao Wang and Michael Wellman

Temporally Layered Architecture for Adaptive, Distributed and Continuous Control
Devdhar Patel, Joshua Russell, Francesca Walsh, Tauhidur Rahman, Terrance Sejnowski and Hava Siegelmann

Multi-objective Reinforcement Learning in Factored MDPs with Graph Neural Networks
Marc Vincent, Amal El Fallah Seghrouchni, Vincent Corruble, Narayan Bernardin, Rami Kassab and Frédéric Barbaresco

Modeling Robustness in Predict-Then-Optimize as a Stackelberg Game
Sonja Johnson-Yu, Kai Wang, Jessie Finocchiaro, Aparna Taneja and Milind Tambe

Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence
Jayati Deshmukh, Nikitha Adivi and Srinath Srinivasa

A Cloud-Based Solution for Multi-Agent Traffic Control Systems
Chikadibia Ihejimba, Behnan Torabi and Rym Z. Wenkstern

Memoryless Adversaries in Imperfect Information Games
Dhananjay Raju, Georgios Bakirtzis and Ufuk Topcu

Multi-Agent Pickup and Delivery with Task Probability Distribution
Andrea Di Pietro, Nicola Basilico and Francesco Amigoni

An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings
Chirag Chhablani and Ian Kash

Bounded and Unbounded Verification of RNN-Based Agents in Non-deterministic Environments
Mehran Hosseini and Alessio Lomuscio

Computational Complexity of Verifying the Group No-show Paradox
Farhad Mohsin, Qishen Han, Sikai Ruan, Pin-Yu Chen, Francesca Rossi and Lirong Xia

Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments
Tung Thai, Utkarsh Soni, Mudit Verma, Sriram Gopalakrishnan, Ming Shen, Mayank Garg, Ayush Kalani, Nakul Vaidya, Subbarao Kambhampati, Neeraj Varshney, Chitta Baral, Jivko Sinapov and Matthias Scheutz

Optimal Capacity Modification for Many-To-One Matching Problems
Jiehua Chen and Gergely Csáji

One-Shot Learning from a Demonstration with Hierarchical Latent Language
Nathaniel Weir, Xingdi Yuan, Marc-Alexandre Côté, Matthew Hausknecht, Romain Laroche, Ida Momennejad, Harm Van Seijen and Benjamin Van Durme

Domain-Expert Configuration of Hypermedia Multi-Agent Systems in Industrial Use Cases
Jérémy Lemée, Samuele Burattini, Simon Mayer and Andrei Ciortea

Emergent Compositional Concept Communication through Mutual Information in Multi-Agent Teams
Seth Karten, Siva Kailas and Katia Sycara

A Framework for Generating Dangerous Scenes for Testing Robustness
Shengjie Xu, Lan Mi and Leilani Gilpin

Two-phase security games
Andrzej Nagórko, Paweł Ciosmak and Tomasz Michalak

Reasoning about Uncertainty in AgentSpeak using Dynamic Epistemic Logic
Michael Vezina, Babak Esfandiari, François Schwarzentruber and Sandra Morley

Learning to Explain Voting Rules
Inwon Kang, Qishen Han and Lirong Xia

Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui and Sarath Sreedharan

Stationary Equilibrium of Mean Field Games with Congestion-dependent Sojourn Times
Costas Courcoubetis and Antonis Dimakis

Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task
David Pynadath, Nik Gurney, Sarah Kenny, Rajay Kumar, Stacy Marsella, Haley Matuszak, Hala Mostafa, Pedro Sequeira, Volkan Ustun and Peggy Wu

On a Voter Model with Context-Dependent Opinion Adoption
Luca Becchetti, Vincenzo Bonifaci, Emilio Cruciani and Francesco Pasquale

Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty
Thomy Phan, Fabian Ritz, Jonas Nüßlein, Michael Kölle, Thomas Gabor and Claudia Linnhoff-Popien

Differentially Private Network Data Collection for Influence Maximization
Carlos Hurtado, M. Amin Rahimian and Fang-Yi Yu

Cognitive Bias-Aware Dissemination Strategies for Opinion Dynamics with External Information Sources
Abdullah Al Maruf, Luyao Niu, Bhaskar Ramasubramanian, Andrew Clark and Radha Poovendran

Leveraging Hierarchical Reinforcement Learning for Ad-hoc Teaming
Stéphane Aroca-Ouellette, Miguel Aroca-Ouellette, Upasana Biswas, Katharina Kann and Alessandro Roncone

A Theory of Mind Approach as Test-Time Mitigation Against Emergent Adversarial Communication
Nancirose Piazza and Vahid Behzadan

Towards Optimal and Scalable Evacuation Planning Using Data-driven Agent Based Models
Kazi Ashik Islam, Da Qi Chen, Madhav Marathe, Henning Mortveit, Samarth Swarup and Anil Vullikanti

MMS Allocations of Chores with Connectivity Constraints: New Methods and New Results
Mingyu Xiao, Guoliang Qiu and Sen Huang

Minimally Constraining Line-of-Sight Connectivity Maintenance for Collision-free Multi-Robot Networks under Uncertainty
Yupeng Yang, Yiwei Lyu and Wenhao Luo

Intention Progression with Maintenance Goals
Di Wu, Yuan Yao, Natasha Alechina, Brian Logan and John Thangarajah

Defensive Collaborative Learning: Protecting Objective Privacy in Data Sharing
Cynthia Huang and Pascal Poupart

Reinforcement Learning with Depreciating Assets
Taylor Dohmen and Ashutosh Trivedi

Group Fairness in Peer Review
Haris Aziz, Evi Micha and Nisarg Shah

Inferring Implicit Trait Preferences from Demonstrations of Task Allocation in Heterogenous Teams
Vivek Mallampati and Harish Ravichandar

Learning to Send Reinforcements: Coordinating Multi-Agent Dynamic Police Patrol Dispatching and Rescheduling via Reinforcement Learning
Waldy Joe and Hoong Chuin Lau

Modeling Dynamic Environments with Scene Graph Memory
Andrey Kurenkov, Roberto Martín-Martín, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu and Silvio Savarese

Group Fair Clustering Revisited — Notions and Efficient Algorithm
Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan and Shweta Jain

Multi-Agent Path Finding with Time Windows
Jianqi Gao, Qi Liu, Shiyu Chen, Kejian Yan, Xinyi Li and Yanjie Li

LTL-Based Non-Markovian Inverse Reinforcement Learning
Alvaro Velasquez, Ashutosh Gupta, Ashutosh Trivedi, Krishna S, Mohammad Afzal and Sankalp Gambhir

Altruism in Facility Location Problems
Houyu Zhou, Hau Chan and Minming Li

Last-mile Collaboration: A Decentralized Mechanism with Bounded Performance Guarantees and Implementation Strategies
Keyang Zhang, Jose Javier Escribano Macias, Dario Paccagnan and Panagiotis Angeloudis

Balancing Fairness and Efficiency in Transport Network Design through Reinforcement Learning
Dimitris Michailidis, Sennay Ghebreab and Fernando Santos

Deep Learning-Powered Iterative Combinatorial Auctions with Active Learning
Benjamin Estermann, Stefan Kramer, Roger Wattenhofer and Ye Wang

Revenue Maximization Mechanisms for a Uninformed Mediator with Communication Abilities
Zhikang Fan and Weiran Shen