Policy Evaluation and Seeking for Multiagent Reinforcement Learning via Best Response
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DOI: 10.1109/tac.2021.3085171
Abstract: Multiagent policy evaluation and seeking are long-standing challenges in developing theories for multiagent reinforcement learning (MARL), due to multidimensional learning goals, nonstationary environment, and scalability issues in the joint policy space. This article introduces two… read more here.
Keywords: policy; policy evaluation; evaluation seeking; reinforcement learning ... See more keywords