Learning Nearly Decomposable Value Functions Via Communication Minimization

ICLR 2020 Tonghan WangJianhao WangChongyi ZhengChongjie Zhang

Reinforcement learning encounters major challenges in multi-agent settings, such as scalability and non-stationarity. Recently, value function factorization learning emerges as a promising way to address these challenges in collaborative multi-agent systems... (read more)

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