policy learning

Rewiring Neurons in Non-Stationary Environments NeurIPS 2023 RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents ICML 2023 Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment RSS 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NeurIPS 2023 Safe Exploration in Reinforcement Learning: A Generalized Formulation and Algorithms NeurIPS 2023 Safe Policy Improvement for POMDPs via Finite-State Controllers AAAI 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NeurIPS 2023 SCONE: A Food Scooping Robot Learning Framework with Active Perception CoRL 2023 Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation ICCV 2023 STEER: Unified Style Transfer with Expert Reinforcement EMNLP 2023 TGRL: An Algorithm for Teacher Guided Reinforcement Learning ICML 2023 Towards Learning to Imitate from a Single Video Demonstration JMLR 2023 Trustworthy Policy Learning under the Counterfactual No-Harm Criterion ICML 2023 UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-Aware Curriculum and Iterative Generalist-Specialist Learning ICCV 2023 What Planning Problems Can A Relational Neural Network Solve? NeurIPS 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 When is Agnostic Reinforcement Learning Statistically Tractable? NeurIPS 2023 Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers ACL 2023 Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022 Active Example Selection for In-Context Learning EMNLP 2022 AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies ICLR 2022 Admissible Policy Teaching through Reward Design AAAI 2022 Adversarially Regularized Policy Learning Guided by Trajectory Optimization L4DC 2022 A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation NeurIPS 2022 A Framework for Learning to Request Rich and Contextually Useful Information from Humans ICML 2022