AAMAS

Keyphrases

Publications

2023

Dimitris Michailidis
Fair Transport Network Design using Multi-Agent Reinforcement Learning. AAMAS (2023)
Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia
The Complexity of Minimizing Envy in House Allocation. AAMAS (2023)
Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi
Robust JaCaMo Applications via Exceptions and Accountability. AAMAS (2023)
John Wesley Hostetter, Mark Abdelshiheed, Tiffany Barnes, Min Chi
A Self-Organizing Neuro-Fuzzy Q-Network: Systematic Design with Offline Hybrid Learning. AAMAS (2023)
Houyu Zhou, Hau Chan, Minming Li
Altruism in Facility Location Problems. AAMAS (2023)
Stelios Triantafyllou
Forward-Looking and Backward-Looking Responsibility Attribution in Multi-Agent Sequential Decision Making. AAMAS (2023)
Nasik Muhammad Nafi, Raja Farrukh Ali, William H. Hsu
Analyzing the Sensitivity to Policy-Value Decoupling in Deep Reinforcement Learning Generalization. AAMAS (2023)
Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing, Bo Xu
M3: Modularization for Multi-task and Multi-agent Offline Pre-training. AAMAS (2023)
Sumedh Pendurkar, Chris Chow, Luo Jie, Guni Sharon
Bilevel Entropy based Mechanism Design for Balancing Meta in Video Games. AAMAS (2023)
William Hunt, Jack Ryan, Ayodeji Opeyemi Abioye, Sarvapali D. Ramchurn, Mohammad Divband Soorati
Demonstrating Performance Benefits of Human-Swarm Teaming. AAMAS (2023)
Arnau Quera-Bofarull, Ayush Chopra, Joseph Aylett-Bullock, Carolina Cuesta-Lázaro, Anisoara Calinescu, Ramesh Raskar, Michael J. Wooldridge
Don't Simulate Twice: One-Shot Sensitivity Analyses via Automatic Differentiation. AAMAS (2023)
Shresth Verma, Aditya Mate, Kai Wang, Neha Madhiwalla, Aparna Hegde, Aparna Taneja, Milind Tambe
Restless Multi-Armed Bandits for Maternal and Child Health: Results from Decision-Focused Learning. AAMAS (2023)
Aleksander Czechowski, Frans A. Oliehoek
Safety Guarantees in Multi-agent Learning via Trapping Regions. AAMAS (2023)
Deepesh Kumar Lall, Garima Shakya, Swaprava Nath
Social Distancing via Social Scheduling. AAMAS (2023)
Xiangsen Wang, Xianyuan Zhan
Offline Multi-Agent Reinforcement Learning with Coupled Value Factorization. AAMAS (2023)
Marin Le Guillou, Laurent Prévot, Bruno Berberian
Trusting Artificial Agents: Communication Trumps Performance. AAMAS (2023)
Ioannis Caragiannis, Shivika Narang
Repeatedly Matching Items to Agents Fairly and Efficiently. AAMAS (2023)
Yuan Luo
Incentivizing Sequential Crowdsourcing Systems. AAMAS (2023)
Chongyang Shi, Shuo Han, Jie Fu
Quantitative Planning with Action Deception in Concurrent Stochastic Games. AAMAS (2023)
Luke Thorburn, Maria Polukarov, Carmine Ventre
Error in the Euclidean Preference Model. AAMAS (2023)
Ágnes Cseh, Pascal Führlich, Pascal Lenzner
The Swiss Gambit. AAMAS (2023)
Karl Tuyls
Multiagent Learning: From Fundamentals to Foundation Models. AAMAS (2023)
Wiktor Piotrowski, Roni Stern, Yoni Sher, Jacob Le, Matthew Klenk, Johan de Kleer, Shiwali Mohan
Learning to Operate in Open Worlds by Adapting Planning Models. AAMAS (2023)
Zeyu Shen, Zhiyi Wang, Xingyu Zhu, Brandon Fain, Kamesh Munagala
Fairness in the Assignment Problem with Uncertain Priorities. AAMAS (2023)
Nutchanon Yongsatianchot, Noah Chicoine, Jacqueline A. Griffin, Özlem Ergun, Stacy Marsella
Agent-Based Modeling of Human Decision-makers Under Uncertain Information During Supply Chain Shortages. AAMAS (2023)
Roland Saur, Han La Poutré, Neil Yorke-Smith
Fair Pricing for Time-Flexible Smart Energy Markets. AAMAS (2023)
Xu-Hui Liu, Feng Xu, Xinyu Zhang, Tianyuan Liu, Shengyi Jiang, Ruifeng Chen, Zongzhang Zhang, Yang Yu
How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement. AAMAS (2023)
Hugo Gilbert, Mohamed Ouaguenouni, Meltem Öztürk, Olivier Spanjaard
Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies. AAMAS (2023)
Mingfei Sun, Sam Devlin, Jacob Beck, Katja Hofmann, Shimon Whiteson
Trust Region Bounds for Decentralized PPO Under Non-stationarity. AAMAS (2023)
Kang Zhou, Chi Guo, Huyin Zhang, Wenfei Guo
RTransNav: Relation-wise Transformer Network for More Successful Object Goal Navigation. AAMAS (2023)
Benedetta Flammini, Davide Azzalini, Francesco Amigoni
Multi-Agent Pickup and Delivery in Presence of Another Team of Robots. AAMAS (2023)
Jacques Bara, Paolo Turrini, Giulia Andrighetto
Enabling Imitation-Based Cooperation in Dynamic Social Networks. AAMAS (2023)
Dorothea Baumeister, Linus Boes
Distortion in Attribute Approval Committee Elections. AAMAS (2023)
Marc Serramia, William Seymour, Natalia Criado, Michael Luck
Predicting Privacy Preferences for Smart Devices as Norms. AAMAS (2023)
Shaheen Fatima, Michael J. Wooldridge
Optimal Coalition Structures for Probabilistically Monotone Partition Function Games. AAMAS (2023)
Jiarui Gan, Bo Li, Xiaowei Wu
Approximation Algorithm for Computing Budget-Feasible EF1 Allocations. AAMAS (2023)
Daniel Chui, Jason D. Hartline, James R. Wright
Non-strategic Econometrics (for Initial Play). AAMAS (2023)
Mohammad Samin Yasar, Tariq Iqbal
CoRaL: Continual Representation Learning for Overcoming Catastrophic Forgetting. AAMAS (2023)
Ayushman Panda, Kamalakar Karlapalem
Capturing Hiders with Moving Obstacles. AAMAS (2023)
Chirag Chhablani, Michael Sullins, Ian A. Kash
Multiplicative Weight Updates for Extensive Form Games. AAMAS (2023)
Rafael Pina, Varuna De Silva, Corentin Artaud
Causality Detection for Efficient Multi-Agent Reinforcement Learning. AAMAS (2023)
Andrzej Nagórko, Pawel Ciosmak, Tomasz P. Michalak
Two-phase Security Games. AAMAS (2023)
Qian Shao, Shih-Fen Cheng
Preference-Aware Delivery Planning for Last-Mile Logistics. AAMAS (2023)
Débora C. Engelmann, Alison R. Panisson, Renata Vieira, Jomi Fred Hübner, Viviana Mascardi, Rafael H. Bordini
MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue Systems. AAMAS (2023)
Zixuan Chen, Wenbin Li, Yang Gao, Yiyu Chen
TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations. AAMAS (2023)
Erik van Haeringen, Charlotte Gerritsen, Koen V. Hindriks
Emotion Contagion in Agent-based Simulations of Crowds: A Systematic Review. AAMAS (2023)
Stefano Mariani, Pasquale Roseti, Franco Zambonelli
Towards Multi-agent Learning of Causal Networks. AAMAS (2023)
Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS (2023)
Chris Dong, Patrick Lederer
Characterizations of Sequential Valuation Rules. AAMAS (2023)
Chirag Chhablani, Ian A. Kash
An Analysis of Connections Between Regret Minimization and Actor Critic Methods in Cooperative Settings. AAMAS (2023)