Offline RL

SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories AAAI 2026 Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning AAAI 2026 State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2026 Trajectory Data Suffices for Statistically Efficient Policy Evaluation in Fixed-Horizon Offline RL with Linear q^π-Realizability and Concentrability COLT 2026 Trajectory Tactics: When Transformers Learn Exploration to Generate Online Signature WACV 2026 Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies AAAI 2026 UNO! UNified Offline Training Paradigm for Learning Path Recommendation AAAI 2026 Variational OOD State Correction for Offline Reinforcement Learning AAAI 2026 WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning L4DC 2026 Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards L4DC 2025 ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample V-Ensemble ICLR 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection ICML 2025 Ad Hoc Teamwork via Offline Goal-Based Decision Transformers ICML 2025 Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR 2025 A Finite-State Controller Based Offline Solver for Deterministic POMDPs IJCAI 2025 A General Framework for Off-Policy Learning with Partially-Observed Reward ICLR 2025 AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025 An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning ICLR 2025 Are Expressive Models Truly Necessary for Offline RL? AAAI 2025 Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis UAI 2025 A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO ICML 2025 Automatic Reward Shaping from Confounded Offline Data ICML 2025 Bayesian Off-Policy Evaluation and Learning for Large Action Spaces AISTATS 2025 Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning ICML 2025