Attentional Policies for Cross-Context Multi-Agent Reinforcement Learning

31 May 2019Matthew A. WrightRoberto Horowitz

Many potential applications of reinforcement learning in the real world involve interacting with other agents whose numbers vary over time. We propose new neural policy architectures for these multi-agent problems... (read more)

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