Offline RL

Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning L4DC 2026 Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026 Balance Equation-based Distributionally Robust Offline Imitation Learning L4DC 2026 Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models AAAI 2026 Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning AAAI 2026 Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents AAAI 2026 Beyond Success: Refining Elegant Robot Manipulation from Mixed-Quality Data via Just-in-Time Intervention CVPR 2026 Causal Discovery for Efficient Offline RL with Factored Action Spaces CLeaR 2026 Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning AAAI 2026 Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract) AAAI 2026 Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication AAAI 2026 MangoBench: A Benchmark for Multi-Agent Goal-Conditioned Offline Reinforcement Learning CVPR 2026 Masking Teacher and Reinforcing Student for Distilling Vision-Language Models CVPR 2026 Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract) AAAI 2026 MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data AAAI 2026 Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization AAAI 2026 Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies AAAI 2026 Offline Reinforcement Learning for Rotation Profile Control in Tokamaks L4DC 2026 OffRIPP: Offline RL-based Informative Path Planning L4DC 2026 One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow AAAI 2026 On the Exponential Convergence for Offline RLHF with Pairwise Comparisons AAAI 2026 Partial Action Replacement: Tackling Distribution Shift in Offline MARL AAAI 2026 Policy-Based Trajectory Clustering in Offline Reinforcement Learning UAI 2026 Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026 Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning AAAI 2026