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Offline RL

725 directly classified papers

Papers per year

Papers

Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
trlX: A Framework for Large Scale Reinforcement Learning from Human Feedback EMNLP 2023
Kernel Conditional Moment Constraints for Confounding Robust Inference AISTATS 2023
Optimal Horizon-Free Reward-Free Exploration for Linear Mixture MDPs ICML 2023
Offline Learning in Markov Games with General Function Approximation ICML 2023
Model-Based Offline Reinforcement Learning with Local Misspecification AAAI 2023
When is Realizability Sufficient for Off-Policy Reinforcement Learning? ICML 2023
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning ICML 2023
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories ICML 2023
Revisiting Bellman Errors for Offline Model Selection ICML 2023
Contrastive Example-Based Control L4DC 2023
What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL? ICML 2023
Boosting Offline Reinforcement Learning with Action Preference Query ICML 2023
Efficient Reinforcement Learning Through Trajectory Generation L4DC 2023
Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL ICML 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023
Semiparametrically Efficient Off-Policy Evaluation in Linear Markov Decision Processes ICML 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer ICML 2023
Deep Off-Policy Iterative Learning Control L4DC 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making ICML 2023
Leveraging Offline Data in Online Reinforcement Learning ICML 2023
Jump-Start Reinforcement Learning ICML 2023
On the Effectiveness of Offline RL for Dialogue Response Generation ICML 2023