Generalized Policy Improvement Algorithms with Theoretically Supported Sample Reuse
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We develop a new class of model-free deep reinforcement learning algorithms for data-driven, learning-based control. Our Generalized Policy Improvement algorithms combine the policy improvement guarantees of on-policy methods with the efficiency of sample reus... ...
