ICML 2024 "multi-agent reinforcement learning" Papers

14 papers found

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning

Matteo Bettini, Ryan Kortvelesy, Amanda Prorok

ICML 2024oral

Detecting Influence Structures in Multi-Agent Reinforcement Learning

Fabian Raoul Pieroth, Katherine Fitch, Lenz Belzner

ICML 2024poster

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning

Yizhe Huang, Anji Liu, Fanqi Kong et al.

ICML 2024poster

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

Wenzhe Li, Zihan Ding, Seth Karten et al.

ICML 2024poster

HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network

Bor Jiun Lin, Chun-Yi Lee

ICML 2024poster

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games

Songtao Feng, Ming Yin, Yu-Xiang Wang et al.

ICML 2024poster

Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning

Xinran Li, Zifan LIU, Shibo Chen et al.

ICML 2024poster

LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning

Hyungho Na, IL CHUL MOON

ICML 2024poster

Major-Minor Mean Field Multi-Agent Reinforcement Learning

Kai Cui, Christian Fabian, Anam Tahir et al.

ICML 2024poster

Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy

Riqiang Gao, Florin-Cristian Ghesu, Simon Arberet et al.

ICML 2024poster

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing

Amutheezan Sivagnanam, Ava Pettet, Hunter Lee et al.

ICML 2024poster

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Dan Qiao, Yu-Xiang Wang

ICML 2024poster

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty

Laixi Shi, Eric Mazumdar, Yuejie Chi et al.

ICML 2024poster

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach

Bin Zhang, Hangyu Mao, Lijuan Li et al.

ICML 2024poster