Offline RL
1,025 papers
Papers per year
2
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1
1
2
2
3
2
6
4
10
29
64
117
148
215
233
151
34
'10
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'25
Papers
Improved Offline Contextual Bandits with Second-Order Bounds: Betting and Freezing
COLT 2025
Improved Off-policy Reinforcement Learning in Biological Sequence Design
ICML 2025
Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
AAAI 2025
Improving Reward Model Generalization from Adversarial Process Enhanced Preferences
ICML 2025
In-Context Reinforcement Learning From Suboptimal Historical Data
ICML 2025
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
AAAI 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
Learning to Trust Bellman Updates: Selective State-Adaptive Regularization for Offline RL
ICML 2025
Leveraging Offline Data in Linear Latent Contextual Bandits
ICML 2025
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
ICML 2025
Leveraging Sub-Optimal Data for Human-in-the-Loop Reinforcement Learning
ICLR 2025
LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models
ICML 2025
Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
ICML 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025
LongReward: Improving Long-context Large Language Models with AI Feedback
ACL 2025
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
AAAI 2025
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer
ICML 2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
AAAI 2025
Model-based Offline Reinforcement Learning with Lower Expectile Q-Learning
ICLR 2025
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
ICML 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