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Offline RL

725 directly classified papers

Papers per year

Papers

Efficient Multi-Policy Evaluation for Reinforcement Learning AAAI 2025
Offline Reinforcement Learning for LLM Multi-step Reasoning ACL 2025
A Finite-State Controller Based Offline Solver for Deterministic POMDPs IJCAI 2025
Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training RSS 2025
State Revisit and Re-explore: Bridging Sim-to-Real Gaps in Offline-and-Online Reinforcement Learning with An Imperfect Simulator IJCAI 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025
Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL AAAI 2025
Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values EMNLP 2025
LongReward: Improving Long-context Large Language Models with AI Feedback ACL 2025
Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning AAAI 2025
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization AAAI 2025
SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning AAAI 2025
Selective Uncertainty Propagation in Offline RL AAAI 2025
Are Expressive Models Truly Necessary for Offline RL? AAAI 2025
Dynamic Uncertainty Estimation for Offline Reinforcement Learning AAAI 2025
Distribution-Free Uncertainty Quantification in Mechanical Ventilation Treatment: A Conformal Deep Q-Learning Framework AAAI 2025
Offline Safe Reinforcement Learning Using Trajectory Classification AAAI 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning CVPR 2025
Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025
Imagination-Limited Q-Learning for Offline Reinforcement Learning IJCAI 2025
Beyond the Known: Decision Making with Counterfactual Reasoning Decision Transformer IJCAI 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning AAAI 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning AAAI 2025
Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues AAAI 2025
Relational Neurosymbolic Markov Models AAAI 2025