Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning

11 Sep 2019 Felix Leibfried Jordi Grau-Moya

Cumulative entropy regularization introduces a regulatory signal to the reinforcement learning (RL) problem that encourages policies with high-entropy actions, which is equivalent to enforcing small deviations from a uniform reference marginal policy. This has been shown to improve exploration and robustness, and it tackles the value overestimation problem... (read more)

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Entropy Regularization
Off-Policy TD Control