Web: http://arxiv.org/abs/2201.11994

Jan. 31, 2022, 2:11 a.m. | Yutong Wang, Guillaume Sartoretti

cs.LG updates on arXiv.org arxiv.org

Decentralized cooperation in partially-observable multi-agent systems
requires effective communications among agents. To support this effort, this
work focuses on the class of problems where global communications are available
but may be unreliable, thus precluding differentiable communication learning
methods. We introduce FCMNet, a reinforcement learning based approach that
allows agents to simultaneously learn a) an effective multi-hop communications
protocol and b) a common, decentralized policy that enables team-level
decision-making. Specifically, our proposed method utilizes the hidden states
of multiple directional recurrent …

arxiv communication memory systems

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