Learning Structured Communication for Multi-agent Reinforcement Learning

ICLR 2020 Junjie ShengXiangfeng WangBo JinJunchi YanWenhao LiTsung-Hui ChangJun WangHongyuan Zha

This work explores the large-scale multi-agent communication mechanism under a multi-agent reinforcement learning (MARL) setting. We summarize the general categories of topology for communication structures in MARL literature, which are often manually specified... (read more)

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