More Robust Doubly Robust Off-policy Evaluation

10 February 2018

Papers citing "More Robust Doubly Robust Off-policy Evaluation"

10 / 10 papers shown

Title
DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects Shu Tamano Masanori Nojima OffRL 159 0 0 02 May 2025
Counterfactual Inference under Thompson Sampling Olivier Jeunen OffRL LRM 53 0 0 03 Apr 2025
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces Imad Aouali Victor-Emmanuel Brunel David Rohde Anna Korba OffRL 115 5 0 22 Feb 2024
Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation Yuta Saito Shunsuke Aihara Megumi Matsutani Yusuke Narita OffRL 135 75 0 17 Aug 2020
Off-policy Bandits with Deficient Support Noveen Sachdeva Yi-Hsun Su Thorsten Joachims OffRL 146 75 0 16 Jun 2020
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning Wenhao Zhang Wentian Bao Xiao-Yang Liu Keping Yang Quan Lin Hong Wen Ramin Ramezani CML 70 105 0 16 Oct 2019
Safe and Efficient Off-Policy Reinforcement Learning Rémi Munos T. Stepleton Anna Harutyunyan Marc G. Bellemare OffRL 132 611 0 08 Jun 2016
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning Philip S. Thomas Emma Brunskill OffRL 302 573 0 04 Apr 2016
Deep Reinforcement Learning with Double Q-learning H. V. Hasselt A. Guez David Silver OffRL 146 7,590 0 22 Sep 2015
Unbiased Offline Evaluation of Contextual-bandit-based News Article Recommendation Algorithms Lihong Li Wei Chu John Langford Xuanhui Wang OffRL 179 575 0 31 Mar 2010