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Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning

15 November 2019

Papers citing "Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning"

41 / 41 papers shown

Title
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects Shu Tamano Masanori Nojima OffRL 198 0 0 02 May 2025
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization Michael Ruogu Zhang T. Paine Ofir Nachum Cosmin Paduraru George Tucker Ziyun Wang Mohammad Norouzi OffRL 76 48 0 28 Apr 2021
Benchmarks for Deep Off-Policy Evaluation Justin Fu Mohammad Norouzi Ofir Nachum George Tucker Ziyun Wang ... Yutian Chen Aviral Kumar Cosmin Paduraru Sergey Levine T. Paine ELM OffRL 78 104 0 30 Mar 2021
Minimax Model Learning Cameron Voloshin Nan Jiang Yisong Yue OffRL 112 18 0 02 Mar 2021
CoinDICE: Off-Policy Confidence Interval Estimation Bo Dai Ofir Nachum Yinlam Chow Lihong Li Csaba Szepesvári Dale Schuurmans OffRL 57 87 0 22 Oct 2020
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 171 75 0 17 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
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies Stephan Zheng Alexander R. Trott Sunil Srinivasa Nikhil Naik Melvin Gruesbeck David C. Parkes R. Socher 56 135 0 28 Apr 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 62 103 0 29 Jan 2020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 151 187 0 28 Oct 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 73 93 0 12 Sep 2019
Off-Policy Evaluation in Partially Observable Environments Guy Tennenholtz Shie Mannor Uri Shalit OffRL 59 87 0 09 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 96 187 0 22 Aug 2019
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
Learning When-to-Treat Policies Xinkun Nie Emma Brunskill Stefan Wager CML OffRL 72 92 0 23 May 2019
Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models Michael Oberst David Sontag CML OffRL 74 173 0 14 May 2019
Information-Theoretic Considerations in Batch Reinforcement Learning Jinglin Chen Nan Jiang OOD OffRL 161 378 0 01 May 2019
Batch Policy Learning under Constraints Hoang Minh Le Cameron Voloshin Yisong Yue OffRL 60 335 0 20 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 243 1,624 0 07 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 131 1,471 0 29 Nov 2018
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform J. Gauci Edoardo Conti Yitao Liang Kittipat Virochsiri Yuchen He Zachary Kaden Vivek Narayanan Xiaohui Ye Zhengxing Chen Scott Fujimoto 63 139 0 01 Nov 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
Importance Sampling Policy Evaluation with an Estimated Behavior Policy Josiah P. Hanna S. Niekum Peter Stone OffRL 49 68 0 04 Jun 2018
Policy Evaluation and Optimization with Continuous Treatments Nathan Kallus Angela Zhou OffRL 142 137 0 16 Feb 2018
More Robust Doubly Robust Off-policy Evaluation Mehrdad Farajtabar Yinlam Chow Mohammad Ghavamzadeh OffRL 78 269 0 10 Feb 2018
Deep Reinforcement Learning that Matters Peter Henderson Riashat Islam Philip Bachman Joelle Pineau Doina Precup David Meger OffRL 123 1,963 0 19 Sep 2017
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits Yu Wang Alekh Agarwal Miroslav Dudík OffRL 117 222 0 04 Dec 2016
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 138 617 0 08 Jun 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 223 5,086 0 05 Jun 2016
Off-policy evaluation for slate recommendation Adith Swaminathan A. Krishnamurthy Alekh Agarwal Miroslav Dudík John Langford Damien Jose I. Zitouni CML OffRL 63 228 0 16 May 2016
Benchmarking Deep Reinforcement Learning for Continuous Control Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel OffRL 94 1,695 0 22 Apr 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 432 577 0 04 Apr 2016
Q( $λ$ ) with Off-Policy Corrections Anna Harutyunyan Marc G. Bellemare T. Stepleton Rémi Munos OffRL 71 96 0 16 Feb 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 217 624 0 11 Nov 2015
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 170 7,662 0 22 Sep 2015
Counterfactual Reasoning and Learning Systems Léon Bottou J. Peters J. Q. Candela Denis Xavier Charles D. M. Chickering Elon Portugaly Dipankar Ray Patrice Y. Simard Edward Snelson CML OffRL 392 786 0 11 Sep 2012
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 120 3,021 0 19 Jul 2012
Doubly Robust Policy Evaluation and Learning Miroslav Dudík John Langford Lihong Li OffRL 345 697 0 23 Mar 2011
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms Lihong Li Wei Chu John Langford Xuanhui Wang OffRL 225 576 0 31 Mar 2010