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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? NIPS 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024
Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NIPS 2024
How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach NIPS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
GTA: Generative Trajectory Augmentation with Guidance for Offline Reinforcement Learning NIPS 2024
ODRL: A Benchmark for Off-Dynamics Reinforcement Learning NIPS 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support NIPS 2024
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning NIPS 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
Learning Versatile Skills with Curriculum Masking NIPS 2024
Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024
Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning NIPS 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NIPS 2024
Offline Multitask Representation Learning for Reinforcement Learning NIPS 2024
A Tractable Inference Perspective of Offline RL NIPS 2024
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
Achieving $\tilde{O}(1/\epsilon)$ Sample Complexity for Constrained Markov Decision Process NIPS 2024
Is Value Learning Really the Main Bottleneck in Offline RL? NIPS 2024