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offline reinforcement learning

492 papers

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Also known as

OFFLINE RL ORL

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

Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023

Supported Trust Region Optimization for Offline Reinforcement Learning ICML 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning ICML 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning ICML 2023

Safe Offline Reinforcement Learning with Real-Time Budget Constraints ICML 2023

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners ICML 2023

Offline Learning in Markov Games with General Function Approximation ICML 2023

Offline Reinforcement Learning with Closed-Form Policy Improvement Operators ICML 2023

Hierarchical Diffusion for Offline Decision Making ICML 2023

Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets NIPS 2023

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations ICML 2023

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer ICML 2023

Model-based Offline Reinforcement Learning with Count-based Conservatism ICML 2023

Beyond Reward: Offline Preference-guided Policy Optimization ICML 2023

Reinforcement Learning in Low-rank MDPs with Density Features ICML 2023

Constrained Policy Optimization with Explicit Behavior Density For Offline Reinforcement Learning NIPS 2023

Principled Offline RL in the Presence of Rich Exogenous Information ICML 2023

Learning Temporally AbstractWorld Models without Online Experimentation ICML 2023

A Connection between One-Step RL and Critic Regularization in Reinforcement Learning ICML 2023

Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching CORL 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023

BridgeData V2: A Dataset for Robot Learning at Scale CORL 2023

Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning CORL 2023