Offline RL
2021-07 Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation
2021-07 Offline Meta-Reinforcement Learning with Online Self-Supervision
2021-07 Conservative Objective Models for Effective Offline Model-Based Optimization
2021-06 Reinforcement Learning as One Big Sequence Modeling Problem
2021-06 Decision Transformer: Reinforcement Learning via Sequence Modeling
2021-04 Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
2021-03 Amortized Conditional Normalized Maximum Likelihood: Reliable Out of Distribution Uncertainty Estimation
2021-01 What Can I Do Here? Learning New Skills by Imagining Visual Affordances
2020-10 Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
2020-07 Hyperparameter Selection for Offline Reinforcement Learning
2020-07 Accelerating Online Reinforcement Learning with Offline Datasets
2020-06 Conservative Q-Learning for Offline Reinforcement Learning