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Offline RL

725 directly classified papers

Papers per year

Papers

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020
Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions ICML 2020
Representations for Stable Off-Policy Reinforcement Learning ICML 2020
Accountable Off-Policy Evaluation With Kernel Bellman Statistics ICML 2020
Revisiting Fundamentals of Experience Replay ICML 2020
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation ICML 2020
An Optimistic Perspective on Offline Reinforcement Learning ICML 2020
Learning Dexterous Manipulation from Suboptimal Experts CORL 2020
Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020
Off-Policy Evaluation via the Regularized Lagrangian NIPS 2020
Variance-Reduced Off-Policy TDC Learning: Non-Asymptotic Convergence Analysis NIPS 2020
Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NIPS 2020
Minimax Value Interval for Off-Policy Evaluation and Policy Optimization NIPS 2020
Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration NIPS 2020
Conservative Q-Learning for Offline Reinforcement Learning NIPS 2020
Remember and Forget for Experience Replay ICML 2019
Divergence-Augmented Policy Optimization NIPS 2019
Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Importance Resampling for Off-policy Prediction NIPS 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NIPS 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NIPS 2019
Generalized Off-Policy Actor-Critic NIPS 2019
Semi-Parametric Efficient Policy Learning with Continuous Actions NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019