most citedUnreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning

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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…