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Offline RL

726 papers

Papers per year

2
60
37
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Papers

Off-Policy Evaluation via Off-Policy Classification NIPS 2019
Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction NIPS 2019
Divergence-Augmented Policy Optimization NIPS 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections NIPS 2019
Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples NIPS 2019
Off-Policy Deep Reinforcement Learning by Bootstrapping the Covariate Shift AAAI 2019
Imitation-Regularized Offline Learning AISTATS 2019
More Efficient Off-Policy Evaluation through Regularized Targeted Learning ICML 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning ICML 2019
Off-Policy Deep Reinforcement Learning without Exploration ICML 2019
Combining parametric and nonparametric models for off-policy evaluation ICML 2019
Importance Sampling Policy Evaluation with an Estimated Behavior Policy ICML 2019
Safe Policy Improvement with Baseline Bootstrapping ICML 2019
Batch Policy Learning under Constraints ICML 2019
Target-Based Temporal-Difference Learning ICML 2019
Remember and Forget for Experience Replay ICML 2019
Optimistic Policy Optimization via Multiple Importance Sampling ICML 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables ICML 2019
CAB: Continuous Adaptive Blending for Policy Evaluation and Learning ICML 2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts IJCAI 2019
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations IJCAI 2019
Exponentially Weighted Imitation Learning for Batched Historical Data NIPS 2018
Representation Balancing MDPs for Off-policy Policy Evaluation NIPS 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation NIPS 2018
More Robust Doubly Robust Off-policy Evaluation ICML 2018