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Offline Reinforcement Learning

84 directly classified papers

Papers per year

Papers

Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NIPS 2021
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning NIPS 2021
A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NIPS 2020
Empirical Likelihood for Contextual Bandits NIPS 2020
Offline Contextual Bandits with High Probability Fairness Guarantees NIPS 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions NIPS 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019