Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning

13 May 2020Han ChaJihong ParkHyesung KimMehdi BennisSeong-Lyun Kim

Traditional distributed deep reinforcement learning (RL) commonly relies on exchanging the experience replay memory (RM) of each agent. Since the RM contains all state observations and action policy history, it may incur huge communication overhead while violating the privacy of each agent... (read more)

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