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Offline RL

725 directly classified papers

Papers per year

Papers

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics ICML 2022
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks IJCNLP 2021
Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021
Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021
Learn to Intervene: An Adaptive Learning Policy for Restless Bandits in Application to Preventive Healthcare IJCAI 2021
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment 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
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021
Offline Reinforcement Learning with Pseudometric Learning ICML 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021
A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation ICML 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL ICML 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning ICML 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021
Improved Regret Bound and Experience Replay in Regularized Policy Iteration ICML 2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021
Is Pessimism Provably Efficient for Offline RL? ICML 2021
Offline Meta-Reinforcement Learning with Advantage Weighting ICML 2021
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
State Relevance for Off-Policy Evaluation ICML 2021