offline reinforcement learning

492 papers

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Also known as

MORL O2O CQL-PRIOR OSRL ORDC OFFLINE RL RVS OMRL OOD ORL RL

Co-occurring keywords

policy optimization (630) policy learning (699) model-based reinforcement learning (415) value function (294) sample complexity (1158) deep reinforcement learning (903) imitation learning (741) distribution shift (711) markov decision process (788) reinforcement learning (4122)

Papers

Amortizing intractable inference in diffusion models for vision, language, and control NIPS 2024

A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-aware Perspective NIPS 2024

Critic-Guided Decision Transformer for Offline Reinforcement Learning AAAI 2024

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning AAAI 2024

Is Value Learning Really the Main Bottleneck in Offline RL? NIPS 2024

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning AAAI 2024

Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization AAAI 2024

Robust Policy Learning via Offline Skill Diffusion AAAI 2024

Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL AAAI 2024

Parameterized Projected Bellman Operator AAAI 2024

OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024

Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning AAAI 2024

SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning AAAI 2024

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NIPS 2024

Efficient Reinforcement Learning by Discovering Neural Pathways NIPS 2024

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning NIPS 2024

Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024

A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NIPS 2024

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NIPS 2024

A Tractable Inference Perspective of Offline RL NIPS 2024

Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning NIPS 2024