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On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
Mutual information regularization has recently been studied in reinforcement learning (RL) as an extension of entropy regularization, in which not only the policy but also the reference distribution (prior) is optimized, and has also been used for privacy preserving policy design. To obtain theoreti
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