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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.MA2024
Measuring Policy Distance for Multi-Agent Reinforcement Learning
Tianyi Hu, Zhiqiang Pu, Xiaolin Ai +2
Diversity plays a crucial role in improving the performance of multi-agent reinforcement learning (MARL). Currently, many diversity-based methods have been developed to overcome th…