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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

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
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning NIPS 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning NIPS 2024
ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble EMNLP 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
Residual learning and context encoding for adaptive offline-to-online reinforcement learning L4DC 2024
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator IJCAI 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games AISTATS 2024
Deep Reinforcement Learning with Hierarchical Action Exploration for Dialogue Generation COLING 2024
Self-training Language Models for Arithmetic Reasoning EMNLP 2024
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023
Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023
Masked Trajectory Models for Prediction, Representation, and Control ICML 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023
Leveraging Offline Data in Online Reinforcement Learning ICML 2023
On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023
Hindsight Learning for MDPs with Exogenous Inputs ICML 2023