Efficient Policy Evaluation with Offline Data Informed Behavior Policy
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Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design

31 January 2023

Shangtong Zhang

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Papers citing "Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design"

19 / 19 papers shown

Title
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 362 1 0 08 Oct 2024
Doubly Optimal Policy Evaluation for Reinforcement Learning Shuze Liu Claire Chen Shangtong Zhang OffRL 177 3 0 03 Oct 2024
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling Subhojyoti Mukherjee Josiah P. Hanna Robert D. Nowak OffRL 63 15 0 09 Mar 2022
Towards Hyperparameter-free Policy Selection for Offline Reinforcement Learning Siyuan Zhang Nan Jiang OffRL 66 39 0 26 Oct 2021
Batch Value-function Approximation with Only Realizability Tengyang Xie Nan Jiang OffRL 382 121 0 11 Aug 2020
Off-Policy Evaluation via the Regularized Lagrangian Mengjiao Yang Ofir Nachum Bo Dai Lihong Li Dale Schuurmans OffRL 41 118 0 07 Jul 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 229 1,381 0 15 Apr 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values Shangtong Zhang Bo Liu Shimon Whiteson OffRL 59 103 0 29 Jan 2020
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum Yinlam Chow Bo Dai Lihong Li OffRL 151 338 0 10 Jun 2019
Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling Tengyang Xie Yifei Ma Yu Wang OffRL 97 181 0 08 Jun 2019
Information-Theoretic Considerations in Batch Reinforcement Learning Jinglin Chen Nan Jiang OOD OffRL 161 378 0 01 May 2019
Planning with Expectation Models Yi Wan M. Zaheer Adam White Martha White R. Sutton OffRL 54 24 0 02 Apr 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 236 1,624 0 07 Dec 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation Qiang Liu Lihong Li Ziyang Tang Dengyong Zhou OffRL 158 356 0 29 Oct 2018
Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods Craig Sherstan Brendan Bennett K. Young Dylan R. Ashley Adam White Martha White R. Sutton 45 15 0 25 Jan 2018
The Uncertainty Bellman Equation and Exploration Brendan O'Donoghue Ian Osband Rémi Munos Volodymyr Mnih 70 192 0 15 Sep 2017
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 617 0 08 Jun 2016
An Emphatic Approach to the Problem of Off-policy Temporal-Difference Learning R. Sutton A. R. Mahmood Martha White 91 272 0 14 Mar 2015
Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping R. Sutton Csaba Szepesvári A. Geramifard Michael Bowling OffRL 86 204 0 13 Jun 2012

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