Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus

21 Mar 2019Yan ZhangMichael M. Zavlanos

In this paper, we propose a distributed off-policy actor critic method to solve multi-agent reinforcement learning problems. Specifically, we assume that all agents keep local estimates of the global optimal policy parameter and update their local value function estimates independently... (read more)

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