Offline RL

A Primal-Dual-Critic Algorithm for Offline Constrained Reinforcement Learning AISTATS 2024 A Tractable Inference Perspective of Offline RL NeurIPS 2024 ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories ICML 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback ICML 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NeurIPS 2024 Bayesian Design Principles for Offline-to-Online Reinforcement Learning ICML 2024 Bayesian Regret Minimization in Offline Bandits ICML 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning NeurIPS 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024 Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning ICLR 2024 Confidence Aware Inverse Constrained Reinforcement Learning ICML 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024 Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024 CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning CoRL 2024 CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024 Data-Efficient Policy Evaluation Through Behavior Policy Search JMLR 2024 Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics ICML 2024 Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making ICLR 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL NeurIPS 2024 Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding ICLR 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NeurIPS 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation ICML 2024 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching ICML 2024 DiffuseLoco: Real-Time Legged Locomotion Control with Diffusion from Offline Datasets CoRL 2024