AAMAS

Publications

2024

Zhicheng Zhang
Advancing Sample Efficiency and Explainability in Multi-Agent Reinforcement Learning. AAMAS (2024)
Shuwa Miura, Shlomo Zilberstein
Observer-Aware Planning with Implicit and Explicit Communication. AAMAS (2024)
Tran Cao Son, Loc Pham, Enrico Pontelli
Property. AAMAS (2024)
Jean Springsteen, William Yeoh, Dino P. Christenson
Algorithmic Filtering, Out-Group Stereotype, and Polarization on Social Media. AAMAS (2024)
Yangyang Zhao, Mehdi Dastani, Shihan Wang
Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning. AAMAS (2024)
Pankaj Deoli, Rohit Kumar, Axel Vierling, Karsten Berns
Evaluation of Robustness of Off-Road Autonomous Driving Segmentation against Adversarial Attacks: A Dataset-Centric Study. AAMAS (2024)
Shahaf S. Shperberg, Bo Liu, Peter Stone
Relaxed Exploration Constrained Reinforcement Learning. AAMAS (2024)
Zhicheng Zhang, Yancheng Liang, Yi Wu, Fei Fang
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure. AAMAS (2024)
Pascal R. van der Vaart
Bayesian Model-Free Deep Reinforcement Learning. AAMAS (2024)
Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza, Klaus Diepold
Reinforcement Learning with Ensemble Model Predictive Safety Certification. AAMAS (2024)
Grant C. Forbes, Nitish Gupta, Leonardo Villalobos-Arias, Colin M. Potts, Arnav Jhala, David L. Roberts
Potential-Based Reward Shaping for Intrinsic Motivation. AAMAS (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. AAMAS (2024)
Nieves Montes, Michael Luck, Nardine Osman, Odinaldo Rodrigues, Carles Sierra
Combining Theory of Mind and Abductive Reasoning in Agent-Oriented Programming. AAMAS (2024)
Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster
Analysing the Sample Complexity of Opponent Shaping. AAMAS (2024)
Prabhat Kumar Chand, Apurba Das, Anisur Rahaman Molla
Agent-Based Triangle Counting and Its Applications in Anonymous Graphs. AAMAS (2024)
Adway Mitra, Palash Dey
Evaluating District-based Election Surveys with Synthetic Dirichlet Likelihood. AAMAS (2024)
Sami Abuhaimed, Sandip Sen
Team Performance and User Satisfaction in Mixed Human-Agent Teams. AAMAS (2024)
Ayse Mutlu Derya
A Comparison of the Myerson Value and the Position Value. AAMAS (2024)
Kaifeng Zhang, Rui Zhao, Ziming Zhang, Yang Gao
Auto-Encoding Adversarial Imitation Learning. AAMAS (2024)
Bin Chen, Zehong Cao
HLG: Bridging Human Heuristic Knowledge and Deep Reinforcement Learning for Optimal Agent Performance. AAMAS (2024)
Grzegorz Pierczynski, Stanislaw Szufa
Single-Winner Voting with Alliances: Avoiding the Spoiler Effect. AAMAS (2024)
Matthew Sheldon, Dario Paccagnan, Giuliano Casale
Cournot Queueing Games with Applications to Mobility Systems. AAMAS (2024)
Alba Aguilera, Nieves Montes, Georgina Curto, Carles Sierra, Nardine Osman
Can Poverty Be Reduced by Acting on Discrimination? An Agent-based Model for Policy Making. AAMAS (2024)
Panagiotis Lymperopoulos, Matthias Scheutz
Oh, Now I See What You Want: Learning Agent Models with Internal States from Observations. AAMAS (2024)
Mingyue Zhang, Nianyu Li, Jialong Li, Jiachun Liao, Jiamou Liu
Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking. AAMAS (2024)
Ramsundar Anandanarayanan, Swaprava Nath, Rohit Vaish
Charging Electric Vehicles Fairly and Efficiently. AAMAS (2024)
Matej Jusup, Barna Pásztor, Tadeusz Janik, Kenan Zhang, Francesco Corman, Andreas Krause, Ilija Bogunovic
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning. AAMAS (2024)
Hideaki Takahashi, Alex Fukunaga
On the Transit Obfuscation Problem. AAMAS (2024)
Karthik Sama, Jayati Deshmukh, Srinath Srinivasa
Social Identities and Responsible Agency. AAMAS (2024)
Linh Le Pham Van, Hung The Tran, Sunil Gupta
Policy Learning for Off-Dynamics RL with Deficient Support. AAMAS (2024)
Chaeeun Han, Jose Paolo Talusan, Daniel Freudberg, Ayan Mukhopadhyay, Abhishek Dubey, Aron Laszka
Forecasting and Mitigating Disruptions in Public Bus Transit Services. AAMAS (2024)
Amy Fang, Hadas Kress-Gazit
High-Level, Collaborative Task Planning Grammar and Execution for Heterogeneous Agents. AAMAS (2024)
Ben Armstrong, Kate Larson
Liquid Democracy for Low-Cost Ensemble Pruning. AAMAS (2024)
Yongsheng Mei, Hanhan Zhou, Tian Lan
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS (2024)
Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS (2024)
Baiting Luo
Adaptive Decision-Making in Non-Stationary Markov Decision Processes. AAMAS (2024)
Balint Gyevnar, Cheng Wang, Christopher G. Lucas, Shay B. Cohen, Stefano V. Albrecht
Causal Explanations for Sequential Decision-Making in Multi-Agent Systems. AAMAS (2024)
Farnoud Ghasemi, Rafal Kucharski
Modelling the Rise and Fall of Two-sided Markets. AAMAS (2024)
Ramon Fraga Pereira, Felipe Meneguzzi
Empowering BDI Agents with Generalised Decision-Making. AAMAS (2024)
Jamison W. Weber, Dhanush R. Giriyan, Devendra R. Parkar, Dimitri P. Bertsekas, Andréa W. Richa
Distributed Online Rollout for Multivehicle Routing in Unmapped Environments. AAMAS (2024)
Giorgio Angelotti, Caroline P. C. Chanel, Adam Henrique Moreira Pinto, Christophe Lounis, Corentin Chauffaut, Nicolas Drougard
Offline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming. AAMAS (2024)
Chen Cheng, Jinglai Li
ODEs Learn to Walk: ODE-Net based Data-Driven Modeling for Crowd Dynamics. AAMAS (2024)
Jean-Loup Farges, Filipo Perotto, Gauthier Picard, Cédric Pralet, Cyrille de Lussy, Jonathan Guerra, Philippe Pavero, Fabrice Planchou
Going Beyond Mono-Mission Earth Observation: Using the Multi-Agent Paradigm to Federate Multiple Missions. AAMAS (2024)
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith
The Parameterized Complexity of Welfare Guarantees in Schelling Segregation. AAMAS (2024)
Yash Shukla, Wenchang Gao, Vasanth Sarathy, Alvaro Velasquez, Robert Wright, Jivko Sinapov
LgTS: Dynamic Task Sampling using LLM-generated Sub-Goals for Reinforcement Learning Agents. AAMAS (2024)
Mohammad T. Irfan, Hau Chan, Jared Soundy
Computing Nash Equilibria in Multidimensional Congestion Games. AAMAS (2024)
Philipp Altmann, Adelina Bärligea, Jonas Stein, Michael Kölle, Thomas Gabor, Thomy Phan, Claudia Linnhoff-Popien
Quantum Circuit Design: A Reinforcement Learning Challenge. AAMAS (2024)
Erwan Escudie, Laëtitia Matignon, Jacques Saraydaryan
Attention Graph for Multi-Robot Social Navigation with Deep Reinforcement Learning. AAMAS (2024)
Halvard Hummel, Ayumi Igarashi
Keeping the Harmony Between Neighbors: Local Fairness in Graph Fair Division. AAMAS (2024)
Aditya Shinde, Prashant Doshi
Modeling Cognitive Biases in Decision-theoretic Planning for Active Cyber Deception. AAMAS (2024)