Batch Policy Learning in Average Reward Markov Decision Processes

23 Jul 2020 Peng Liao Zhengling Qi Susan Murphy

We consider the batch (off-line) policy learning problem in the infinite horizon Markov Decision Process. Motivated by mobile health applications, we focus on learning a policy that maximizes the long-term average reward... (read more)

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