off-policy evaluation

Balanced Off-Policy Evaluation in General Action Spaces AISTATS 2020 Batch Stationary Distribution Estimation ICML 2020 Characterization of Overlap in Observational Studies AISTATS 2020 CoinDICE: Off-Policy Confidence Interval Estimation NeurIPS 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020 Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes JMLR 2020 Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation ICLR 2020 Doubly robust off-policy evaluation with shrinkage ICML 2020 Empirical Likelihood for Contextual Bandits NeurIPS 2020 Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation NeurIPS 2020 From Importance Sampling to Doubly Robust Policy Gradient ICML 2020 GenDICE: Generalized Offline Estimation of Stationary Values ICLR 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020 Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020 Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NeurIPS 2020 Minimax Weight and Q-Function Learning for Off-Policy Evaluation ICML 2020 Off-Policy Evaluation and Learning for External Validity under a Covariate Shift NeurIPS 2020 Off-Policy Evaluation in Partially Observable Environments AAAI 2020 Off-Policy Evaluation via the Regularized Lagrangian NeurIPS 2020 Off-Policy Interval Estimation with Lipschitz Value Iteration NeurIPS 2020 Taylor Expansion Policy Optimization ICML 2020 Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020 Bayesian Counterfactual Risk Minimization ICML 2019