Structural Multi-agent Learning

ICLR 2020 Anonymous

In this paper, we propose a multi-agent learning framework to model communication in complex multi-agent systems. Most existing multi-agent reinforcement learning methods require agents to exchange information with the environment or global manager to achieve effective and efficient interaction... (read more)

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