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

Learning to Influence Human Behavior with Offline Reinforcement Learning NIPS 2023

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

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions CORL 2023

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

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

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning CORL 2023

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

HIQL: Offline Goal-Conditioned RL with Latent States as Actions NIPS 2023

Pre-Training for Robots: Offline RL Enables Learning New Tasks in a Handful of Trials RSS 2023

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

Corruption-Robust Offline Reinforcement Learning with General Function Approximation NIPS 2023

Distributed Offline Policy Optimization Over Batch Data AISTATS 2023

Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023

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

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

ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023

Contrastive Value Learning: Implicit Models for Simple Offline RL CORL 2023

CLUE: Calibrated Latent Guidance for Offline Reinforcement Learning CORL 2023

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

Anti-Exploration by Random Network Distillation ICML 2023

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation ICML 2023

Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023

Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023

Finetuning Offline World Models in the Real World CORL 2023

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning NIPS 2023