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Markovian Interference in Experiments

6 June 2022

Vivek F. Farias

Papers citing "Markovian Interference in Experiments"

23 / 23 papers shown

Title
Statistical Inference in Reinforcement Learning: A Selective Survey Chengchun Shi OffRL 255 2 0 22 Feb 2025
Synthetically Controlled Bandits Vivek Farias C. Moallemi Tianyi Peng Andrew Zheng 82 13 0 14 Feb 2022
Multiple Randomization Designs Patrick Bajari Brian Burdick Guido Imbens L. Masoero James McQueen Thomas S. Richardson Ido Rosen 74 45 0 27 Dec 2021
Learning Treatment Effects in Panels with General Intervention Patterns Vivek F. Farias Andrew A. Li Tianyi Peng CML 66 10 0 05 Jun 2021
Average-Reward Off-Policy Policy Evaluation with Function Approximation Shangtong Zhang Yi Wan R. Sutton Shimon Whiteson OffRL 61 31 0 08 Jan 2021
Off-Policy Evaluation via the Regularized Lagrangian Mengjiao Yang Ofir Nachum Bo Dai Lihong Li Dale Schuurmans OffRL 56 118 0 07 Jul 2020
Learning and Planning in Average-Reward Markov Decision Processes Yi Wan A. Naik R. Sutton OffRL 69 61 0 29 Jun 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach Peter Glynn Ramesh Johari M. Rasouli 77 31 0 10 Jun 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang Shuang Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 122 40 0 05 Feb 2020
Minimax Weight and Q-Function Learning for Off-Policy Evaluation Masatoshi Uehara Jiawei Huang Nan Jiang OffRL 171 187 0 28 Oct 2019
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation Ziyang Tang Yihao Feng Lihong Li Dengyong Zhou Qiang Liu OffRL 164 69 0 16 Oct 2019
Efficiently Breaking the Curse of Horizon in Off-Policy Evaluation with Double Reinforcement Learning Nathan Kallus Masatoshi Uehara OffRL 95 93 0 12 Sep 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 117 187 0 22 Aug 2019
DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections Ofir Nachum Yinlam Chow Bo Dai Lihong Li OffRL 155 338 0 10 Jun 2019
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation Qiang Liu Lihong Li Ziyang Tang Dengyong Zhou OffRL 177 356 0 29 Oct 2018
Boosting the Actor with Dual Critic Bo Dai Albert Eaton Shaw Niao He Lihong Li Le Song 68 46 0 29 Dec 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 589 19,315 0 20 Jul 2017
A framework for Multi-A(rmed)/B(andit) testing with online FDR control Fanny Yang Aaditya Ramdas Kevin Jamieson Martin J. Wainwright 49 63 0 16 Jun 2017
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 434 577 0 04 Apr 2016
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning Nan Jiang Lihong Li OffRL 224 624 0 11 Nov 2015
Model-assisted design of experiments in the presence of network correlated outcomes Guillaume W. Basse E. Airoldi CML 48 73 0 03 Jul 2015
Exact P-values for Network Interference Susan Athey Dean Eckles Guido Imbens 94 226 0 05 Jun 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 285 6,807 0 19 Feb 2015