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Showing 1 to 1 of 1 for “"Reinforcement Learning, Batch, Offline, RL"”.

  1. Batch value function tournament for offline policy selection in reinforcement learning

    Offline policy selection is a challenging open problem in reinforcement learning that has many important applications. The recently proposed Batch Value Function Tournament (BVFT) algorithm for batch learning offers some nice properties and can be applied to the model selection problem. In this …

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