Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation

Neural Information Processing Systems 

With increasing success in reinforcement learning (RL), there is broad interest in applying these methods to real-world settings. This has brought exciting progress in offline RL and off-policy policy evaluation (OPPE).

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