policy evaluation

Evaluating Real-World Robot Manipulation Policies in Simulation CoRL 2024 Externally Valid Policy Evaluation from Randomized Trials Using Additional Observational Data NeurIPS 2024 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 From Past to Future: Rethinking Eligibility Traces AAAI 2024 Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability COLT 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NeurIPS 2024 PILOT: An O(1/K)-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation ICLR 2024 Policy Evaluation for Variance in Average Reward Reinforcement Learning ICML 2024 Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination ICML 2024 Probabilistic Offline Policy Ranking with Approximate Bayesian Computation AAAI 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024 SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP ICML 2024 SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits AISTATS 2024 The surprising efficiency of temporal difference learning for rare event prediction NeurIPS 2024 Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding NeurIPS 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems NeurIPS 2023 A New Challenge in Policy Evaluation AAAI 2023 A State Representation for Diminishing Rewards NeurIPS 2023 A Tale of Sampling and Estimation in Discounted Reinforcement Learning AISTATS 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023 Estimating Geographic Spillover Effects of COVID-19 Policies from Large-Scale Mobility Networks AAAI 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning CVPR 2023 Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation ICML 2023 In-sample Actor Critic for Offline Reinforcement Learning ICLR 2023