batch reinforcement learning

Switching the Loss Reduces the Cost in Batch Reinforcement Learning ICML 2024 [CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue ACL 2022 Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning NeurIPS 2022 Offline policy optimization with eligible actions UAI 2022 The Curse of Passive Data Collection in Batch Reinforcement Learning AISTATS 2022 Batch Reinforcement Learning Through Continuation Method ICLR 2021 Batch Value-function Approximation with Only Realizability ICML 2021 Continuous Doubly Constrained Batch Reinforcement Learning NeurIPS 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning NeurIPS 2020 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 BRPO: Batch Residual Policy Optimization IJCAI 2020 Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning ICML 2020 Critic Regularized Regression NeurIPS 2020 On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract) IJCAI 2020 Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NeurIPS 2020 Q* Approximation Schemes for Batch Reinforcement Learning: A Theoretical Comparison UAI 2020 Quantile QT-Opt for Risk-Aware Vision-Based Robotic Grasping RSS 2020 Reducing Sampling Error in Batch Temporal Difference Learning ICML 2020 Scaling data-driven robotics with reward sketching and batch reinforcement learning RSS 2020 Batch Policy Learning under Constraints ICML 2019 Combining parametric and nonparametric models for off-policy evaluation ICML 2019 Information-Theoretic Considerations in Batch Reinforcement Learning ICML 2019