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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Dealing with the Unknown: Pessimistic Offline Reinforcement Learning CORL 2021
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion CORL 2021
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL CORL 2021
Safe Driving via Expert Guided Policy Optimization CORL 2021
Learning Off-Policy with Online Planning CORL 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation CORL 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble CORL 2021
Understanding the World Through Action CORL 2021
A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks ACL 2021
BRAC+: Improved Behavior Regularized Actor Critic for Offline Reinforcement Learning ACML 2021
Online Sparse Reinforcement Learning AISTATS 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning AISTATS 2021
Off-policy Evaluation in Infinite-Horizon Reinforcement Learning with Latent Confounders AISTATS 2021
Non-Stationary Off-Policy Optimization AISTATS 2021
Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021
Minimax Regret for Stochastic Shortest Path with Adversarial Costs and Known Transition COLT 2021
Fast Rates for the Regret of Offline Reinforcement Learning COLT 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach EMNLP 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
Model-Free and Model-Based Policy Evaluation when Causality is Uncertain ICML 2021
Learning Routines for Effective Off-Policy Reinforcement Learning ICML 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021