Offline RL

Improving Offline RL by Blending Heuristics ICLR 2024 In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought ICML 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments ICML 2024 Information Bottleneck Based Data Correction in Continual Learning ECCV 2024 Information-Directed Pessimism for Offline Reinforcement Learning ICML 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024 Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective ICML 2024 Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NeurIPS 2024 Is Value Learning Really the Main Bottleneck in Offline RL? NeurIPS 2024 Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NeurIPS 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 Learning a Diffusion Model Policy from Rewards via Q-Score Matching ICML 2024 Learning Constraints from Offline Demonstrations via Superior Distribution Correction Estimation ICML 2024 Learning from Sparse Offline Datasets via Conservative Density Estimation ICLR 2024 Learning Surrogates for Offline Black-Box Optimization via Gradient Matching ICML 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ICLR 2024 Leveraging (Biased) Information: Multi-armed Bandits with Offline Data ICML 2024 Lifelong Autonomous Improvement of Navigation Foundation Models in the Wild CoRL 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations ICML 2024 Listwise Reward Estimation for Offline Preference-based Reinforcement Learning ICML 2024 LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement NeurIPS 2024 MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024