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cs.MA2025
Heterogeneity in Multi-Agent Reinforcement Learning
Tianyi Hu, Zhiqiang Pu, Yuan Wang +3
Heterogeneity is a fundamental property in multi-agent reinforcement learning (MARL), which is closely related not only to the functional differences of agents, but also to policy…
cs.MA2025
MA2RL: Masked Autoencoders for Generalizable Multi-Agent Reinforcement Learning
Jinyuan Feng, Min Chen, Zhiqiang Pu +2
To develop generalizable models in multi-agent reinforcement learning, recent approaches have been devoted to discovering task-independent skills for each agent, which generalize a…