offline reinforcement learning

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 q-exponential family for policy optimization ICLR 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 Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR 2025 A Finite-State Controller Based Offline Solver for Deterministic POMDPs IJCAI 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline 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 Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning ICLR 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs EMNLP 2025 Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer IJCAI 2025 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains EMNLP 2025 CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning ICCV 2025 Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning UAI 2025 ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization ICLR 2025 ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy RSS 2025 Constrained Exploitability Descent: An Offline Reinforcement Learning Method for Finding Mixed-Strategy Nash Equilibrium ICML 2025