offline policy evaluation

Rates for Offline Reinforcement Learning with Adaptively Collected Data L4DC 2025 Offline Policy Evaluation and Optimization Under Confounding AISTATS 2024 Offline Reinforcement Learning: Role of State Aggregation and Trajectory Data COLT 2024 OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators NeurIPS 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Scaling Offline Evaluation of Reinforcement Learning Agents through Abstraction AAAI 2024 A Complete Characterization of Linear Estimators for Offline Policy Evaluation JMLR 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees ICML 2023 Hallucinated adversarial control for conservative offline policy evaluation UAI 2023 Learning Bellman Complete Representations for Offline Policy Evaluation ICML 2022 On Instrumental Variable Regression for Deep Offline Policy Evaluation JMLR 2022 Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NeurIPS 2021 Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization ICLR 2021 Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021 Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings NeurIPS 2021