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offline reinforcement learning

676 papers

OFFLINE RL ORL

Papers

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025 INS: Interaction-aware Synthesis to Enhance Offline Multi-agent Reinforcement Learning ICLR 2025 Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning ICLR 2025 Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation ICLR 2025 Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning ICLR 2025 Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning ICML 2025 Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making ICLR 2025 MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025 Model-Free Offline Reinforcement Learning with Enhanced Robustness ICLR 2025 Model Risk-sensitive Offline Reinforcement Learning ICLR 2025 Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning ICLR 2025 Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL ICLR 2025 Offline Hierarchical Reinforcement Learning via Inverse Optimization ICLR 2025 Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025 Offline Multi-task Transfer RL with Representational Penalization AISTATS 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 OGBench: Benchmarking Offline Goal-Conditioned RL ICLR 2025 Preference Elicitation for Offline Reinforcement Learning ICLR 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning ACML 2025