Offline RL

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025 Offline Multi-task Transfer RL with Representational Penalization AISTATS 2025 Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement ICML 2025 Offline Reinforcement Learning for LLM Multi-step Reasoning ACL 2025 Offline RL in Regular Decision Processes: Sample Efficiency via Language Metrics ICLR 2025 Offline RL via Feature-Occupancy Gradient Ascent AISTATS 2025 Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood ICLR 2025 Offline Safe Reinforcement Learning Using Trajectory Classification AAAI 2025 Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation ICML 2025 Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation ICML 2025 Off-Policy Evaluation under Nonignorable Missing Data ICML 2025 Off Policy Lyapunov Stability in Reinforcement Learning CoRL 2025 OGBench: Benchmarking Offline Goal-Conditioned RL ICLR 2025 O-MAPL: Offline Multi-agent Preference Learning ICML 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning ICML 2025 Online-to-Offline RL for Agent Alignment ICLR 2025 Partially Observable Reinforcement Learning with Memory Traces ICML 2025 Penalizing Infeasible Actions and Reward Scaling in Reinforcement Learning with Offline Data ICML 2025 POIL:Preference Optimization for Imitation Learning ACML 2025 Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML 2025 POTEC: Off-Policy Contextual Bandits for Large Action Spaces via Policy Decomposition ICLR 2025 Preference Elicitation for Offline Reinforcement Learning ICLR 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Provable Zero-Shot Generalization in Offline Reinforcement Learning ICML 2025 Q-Supervised Contrastive Representation: A State Decoupling Framework for Safe Offline Reinforcement Learning ICML 2025