Offline RL

Exploration and Anti-Exploration with Distributional Random Network Distillation ICML 2024 Fair Off-Policy Learning from Observational Data ICML 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices ICML 2024 Foundation Policies with Hilbert Representations ICML 2024 Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning ICLR 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Generalization to New Sequential Decision Making Tasks with In-Context Learning ICML 2024 Generalized Preference Optimization: A Unified Approach to Offline Alignment ICML 2024 Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance CoRL 2024 GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation AAAI 2024 GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NeurIPS 2024 HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024 Harnessing Density Ratios for Online Reinforcement Learning ICLR 2024 How Does Goal Relabeling Improve Sample Efficiency? ICML 2024 How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NeurIPS 2024 How to Leverage Diverse Demonstrations in Offline Imitation Learning ICML 2024 Hybrid Reinforcement Learning Breaks Sample Size Barriers In Linear MDPs NeurIPS 2024 Hybrid Reinforcement Learning from Offline Observation Alone ICML 2024 Hyperparameter Optimization Can Even Be Harmful in Off-Policy Learning and How to Deal with It IJCAI 2024 Imitation Learning in Discounted Linear MDPs without exploration assumptions ICML 2024 Implicit and Explicit Policy Constraints for Offline Reinforcement Learning CLeaR 2024 Importance-Weighted Offline Learning Done Right ALT 2024 Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition AISTATS 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024