policy evaluation

Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023 Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023 Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023 Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off NeurIPS 2023 Marginalized Importance Sampling for Off-Environment Policy Evaluation CoRL 2023 On the Performance of Temporal Difference Learning With Neural Networks ICLR 2023 Optimal and Fair Encouragement Policy Evaluation and Learning NeurIPS 2023 Policy Evaluation in Distributional LQR L4DC 2023 Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NeurIPS 2023 Revisiting Bellman Errors for Offline Model Selection ICML 2023 Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks JMLR 2023 Simplified Risk-aware Decision Making with Belief-dependent Rewards in Partially Observable Domains (Extended Abstract) IJCAI 2023 Statistical Inference on Multi-armed Bandits with Delayed Feedback ICML 2023 The Statistical Benefits of Quantile Temporal-Difference Learning for Value Estimation ICML 2023 Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023 Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NeurIPS 2023 Why Target Networks Stabilise Temporal Difference Methods ICML 2023 A Generalized Bootstrap Target for Value-Learning, Efficiently Combining Value and Feature Predictions AAAI 2022 A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning NeurIPS 2022 Finite Sample Analysis of Mean-Volatility Actor-Critic for Risk-Averse Reinforcement Learning AISTATS 2022 Gradient Temporal Difference with Momentum: Stability and Convergence AAAI 2022 NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NeurIPS 2022 Offline Policy Selection under Uncertainty AISTATS 2022 Offline stochastic shortest path: Learning, evaluation and towards optimality UAI 2022 On the Assumptions of Synthetic Control Methods AISTATS 2022