behavior policy

Offline Imitation Learning with Suboptimal Demonstrations via Relaxed Distribution Matching AAAI 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints NeurIPS 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023 Adversarially Trained Actor Critic for Offline Reinforcement Learning ICML 2022 DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning NeurIPS 2022 Generalized Data Distribution Iteration ICML 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization ICLR 2022 Model-Based Offline Planning with Trajectory Pruning IJCAI 2022 Retrieval-Augmented Reinforcement Learning ICML 2022 Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning ICML 2022 Supported Policy Optimization for Offline Reinforcement Learning NeurIPS 2022 When does return-conditioned supervised learning work for offline reinforcement learning? NeurIPS 2022 Batch Reinforcement Learning Through Continuation Method ICLR 2021 EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021 Offline RL Without Off-Policy Evaluation NeurIPS 2021 Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning ICLR 2020 BRPO: Batch Residual Policy Optimization IJCAI 2020 Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies ICLR 2020 Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019 Data-Efficient Policy Evaluation Through Behavior Policy Search ICML 2017