Offline RL

Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Offline Contextual Bandits with Overparameterized Models ICML 2021 Distributionally Robust Policy Evaluation and Learning in Offline Contextual Bandits ICML 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning AISTATS 2020 Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization ICML 2018 Learning from Logged Implicit Exploration Data NeurIPS 2010