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 Xianchao 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
Gregory 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, Wanyuan Wang, Fengchen Wang, Tianchi Qiao, Xiang Liu, Jiuchuan Jiang, Bo An 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
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi, Bogdan Robu, Christophe Prieur, Ludovic Dos Santos and Merwan Barlier
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
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
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
Arnhav Datar, Nischith Shadagopan and John Augustine
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 Global 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, Junyu Zhang, Sizhe Gu and Dengji Zhao
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
A 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 attitudes of US-based participants towards deceptive AI in selected future-of-work scenarios
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! Dynamic Epistemic Logic Models of (In)attentive 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
Visual Explanations for Defence 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
Communication-efficient Federated Constrained Optimization
Syed Eqbal Alam, Jia Yuan Yu and Jakub Marecek
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
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. Harrison, 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: Design of Non-Dyadic Human-Robot Collaboration to Mediate Concurrent Human-Human Tasks
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
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 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
Phantom – 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
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
Does Delegating Votes Protect Against Pandering Candidates?
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
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
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
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 similarity 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
From Scripts to RL Environments: Towards Imparting Commonsense Knowledge to RL Agents
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
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
Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models
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, Terrence 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 Decision-Focused Learning 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
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 Heterogeneous Teams
Vivek Mallampati and Harish Ravichandar
Modeling Dynamic Environments with Scene Graph Memory
Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Chengshu Li, Emily Jin, Ruohan Zhang, Fei-Fei Li, Jiajun Wu, Silvio Savarese and Roberto Martín-Martín
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: Preliminary Results
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 an Uninformed Mediator with Communication Abilities
Zhikang Fan and Weiran Shen
Blue Sky Ideas Track
Models of Anxiety for Agent Deliberation: The Benefits of Anxiety-Sensitive Agents
Arvid Horned and Loïs Vanhée
Social Choice Around Decentralized Autonomous Organizations: On the Computational Social Choice of Digital Communities
Nimrod Talmon
Value Inference in Sociotechnical Systems
Enrico Liscio, Roger Lera-Leri, Filippo Bistaffa, Roel I. J. Dobbe, Catholijn M. Jonker, Maite Lopez-Sanchez, Juan A. Rodriguez-Aguilar and Pradeep K. Murukannaiah
Presenting Multiagent Challenges in Team Sports Analytics
David Radke and Alexi Orchard
Communication Meaning: Foundations and Directions for Systems Research
Amit Chopra and Samuel Christie
The Rule–Tool–User Nexus in Digital Collective Decisions
Zoi Terzopoulou, Marijn A. Keijzer, Gogulapati Sreedurga and Jobst Heitzig
Epistemic Side Effects: An AI Safety Problem
Toryn Q. Klassen, Parand Alizadeh Alamdari and Sheila A. McIlraith
Citizen-Centric Multiagent Systems
Sebastian Stein and Vahid Yazdanpanah
JAAMAS Track
Learning Structured Communication for Multi-Agent Reinforcement Learning
Junjie Sheng, Xiangfeng Wang, Bo Jin, Wenhao Li, Jun Wang, Junchi Yan, Tsung-Hui Chang and Hongyuan Zha
Emotion contagion in agent-based simulations of crowds: a systematic review
Erik van Haeringen, Charlotte Gerritsen and Koen Hindriks
On the Distortion of Single Winner Elections with Aligned Candidates
Dimitris Fotakis and Laurent Gourves
On-line Estimators for Ad-hoc Task Execution: Learning types and parameters of teammates for effective teamwork
Matheus Aparecido Do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama and Plamen Angelov
Optimal Coalition Structures for Probabilistically Monotone Partition Function Games
Shaheen Fatima and Michael Wooldridge
Equitability and Welfare Maximization for Allocating Indivisible Items
Ankang Sun, Bo Chen and Xuan Vinh Doan
A Brief Guide to Multi-Objective Reinforcement Learning and Planning
Conor F Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Kallstrom, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowe, Gabriel Ramos, Marcello Restelli, Peter Vamplew and Diederik M. Roijers
Scalar reward is not enough
Peter Vamplew, Ben Smith, Johan Källström, Gabriel Ramos, Roxana Rădulescu, Diederik Roijers, Conor Hayes, Friedrik Hentz, Patrick Mannion, Pieter Libin, Richard Dazeley and Cameron Foale
Preference-Based Multi-Objective Multi-Agent Path Finding
Florence Ho and Shinji Nakadai
Enabling Imitation-Based Cooperation in Dynamic Social Networks
Jacques Bara, Paolo Turrini and Giulia Andrighetto
Representing and Reasoning about Auctions
Munyque Mittelmann, Sylvain Bouveret and Laurent Perrussel
How to Turn an MAS into a Graphical Causal Model
H. Van Dyke Parunak
A Study of Nash Equilibria in Multi-Objective Normal-Form Games
Willem Röpke, Diederik M. Roijers, Ann Nowe and Roxana Radulescu
Mandrake: Multiagent Systems as a Basis for Programming Fault-Tolerant Decentralized Applications
Samuel Christie, Amit Chopra and Munindar P. Singh
Emergence of Norms in Interactions with Complex Rewards
Dhaminda Abeywickrama, Nathan Griffiths, Zhou Xu and Alex Mouzakitis
Demo Track
TDD for AOP: Test-Driven Development for Agent-Oriented Programming
Cleber Amaral, Jomi Fred Hubner and Timotheus Kampik
Interaction-Oriented Programming: Intelligent, Meaning-Based Multiagent Systems
Amit Chopra, Samuel Christie and Munindar P. Singh
Improvement and Evaluation of the Policy Legibility in Reinforcement Learning
Yanyu Liu, Yifeng Zeng, Biyang Ma, Yinghui Pan, Huifan Gao and Xiaohan Huang.
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance
Mara Cairo, Graham Doerksen, Bevin Eldaphonse, Johannes Gunther, Nikolai Kummer, Jordan Maretzki, Gupreet Mohhar, Payam Mousavi, Sean Murphy, Laura Petrich, Sahir, Jubair Sheikh, Talat Syed and Matthew E. Taylor
Robust JaCaMo Applications via Exceptions and Accountability
Matteo Baldoni, Cristina Baroglio, Roberto Micalizio and Stefano Tedeschi
A Web-based Tool for Detecting Argument Validity and Novelty
Sandrine Chausson, Ameer Saadat-Yazdi, Xue Li, Jeff Z. Pan, Vaishak Belle, Nadin Kokciyan and Bjorn Ross
Visualizing Logic Explanations for Social Media Moderation
Marc Roig Vilamala, Dave Braines, Federico Cerutti and Alun Preece
The influence maximisation game
Sukankana Chakraborty, Sebastian Stein, Ananthram Swami, Matthew Jones and Lewis Hill
Demonstrating Performance Benefits of Human-Swarm Teaming
William Hunt, Jack Ryan, Ayodeji O Abioye, Sarvapali D Ramchurn and Mohammad D Soorati
Hiking up that HILL with Cogment-Verse: Train & operate multi-agent systems learning from Humans
Sai Krishna Gottipati, Luong-Ha Nguyen, Clodéric Mars and Matthew E. Taylor
Real Time Gesturing in Embodied Agents for Dynamic Content Creation
Hazel Watson-Smith, Felix Marcon Swadel, Jo Hutton, Kirstin Marcon, Mark Sagar, Shane Blackett, Tiago Ribeiro, Travers Biddle and Tim Wu
Doctoral Consortium
Counterfactual Explanations for Reinforcement Learning Agents
Jasmina Gajcin
Bipartite Matching for Repeated Allocation Problems
Yohai Trabelsi
Artificial Intelligence Algorithms for Strategic Reasoning over Complex Multiagent Systems
Zun Li
Emergence of Cooperation on Networks
Jacques Bara
Enhancing User Understanding of Reinforcement Learning Agents Through Visual Explanations
Yotam Amitai
Algorithmic Fairness in Temporal Resource Allocation
Ashwin Kumar
AI & Multi-agent Systems for Data-centric Epidemic Forecasting
Alexander Rodriguez
Strategy Extraction for Transfer in AI Agents
Archana Vadakattu
Multi-Advisor Dynamic Decision Making
Zhaori Guo
Forward-Looking and Backward-Looking Responsibility Attribution in Multi-Agent Sequential Decision Making
Stelios Triantafyllou
Coalition Formation in Sequential Decision-Making under Uncertainty
Saar Cohen
Fine-Grained Complexity of Fair and Efficient Allocations
Aditi Sethia
Preference Inference from Demonstration in Multi-objective Multi-agent Decision Making
Junlin Lu
Explanation through Dialogue for Reasoning Systems
Yifan Xu
Logics for Information Aggregation
John Lindqvist
Towards Sample-Efficient Multi-Objective Reinforcement Learning
Lucas N. Alegre
Verifiably Safe Decision-Making for Autonomous Systems
Yi Yang
A Toolkit for Encouraging Safe Diversity in Skill Discovery
Maxence Hussonnois
Citizen Centric Demand Responsive Transport
Alexander Masterman
Safe Behavior Specification and Planning for Autonomous Robotic Systems in Uncertain Environments
Jan Vermaelen
Mechanism Design for Heterogeneous and Distributed Facility Location Problems
Rongsen Zhang
Reinforcement Learning and Mechanism Design for Routing of Connected and Autonomous Vehicles
Behrad Koohy
Uncertainty-aware Personal Assistant and Explanation Method for Privacy Decisions
Gönül Ayci
Fair Transport Network Design using Multi-Agent Reinforcement Learning
Dimitris Michailidis
Towards Scalable and Robust Decision Making in Partially Observable, Multi-Agent Environments
Jonathon Schwartz
Reinforcement Learning in Multi-Objective Multi-Agent Systems
Willem Röpke
Characterizing Fairness in Societal Resource Allocation
Tasfia Mashiat
Learning Transferable Representations for Non-stationary Environments
Mohammad Yasar
Effective Human-Machine Teaming through Communicative Autonomous Agents that Explain, Coach, and Convince
Aaquib Tabrez
Towards a Logical Account for Human-Aware Explanation Generation in Model Reconciliation Problems
Stylianos Loukas Vasileiou
Contests and Other Topics in Multi-Agent Systems
Abheek Ghosh
Planning and Coordination for Unmanned Aerial Vehicles
Jonathan Diller
Towards Creating Better Interactive Agents: Leveraging Both Implicit and Explicit Human Feedback
Kate Candon
Assistive Robotics for Empowering Humans with Visual Impairments to Independently Perform Day-to-day Tasks
Shivendra Agrawal
Separations and Collapses in Computational Social Choice
Michael C. Chavrimootoo
Emergent Responsible Autonomy in Multi-Agent Systems
Jayati Deshmukh
Learning Representations and Robust Exploration for Improved Generalization in Reinforcement Learning
Nasik Muhammad Nafi
Enhancing Smart, Sustainable Mobility with Game Theory and Multi-Agent Reinforcement Learning.
Lucia Cipolina