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1802.03493
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More Robust Doubly Robust Off-policy Evaluation
10 February 2018
Mehrdad Farajtabar
Yinlam Chow
Mohammad Ghavamzadeh
OffRL
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Papers citing
"More Robust Doubly Robust Off-policy Evaluation"
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Context-Action Embedding Learning for Off-Policy Evaluation in Contextual Bandits
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Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
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28 Aug 2025
Meta Off-Policy Estimation
ACM Conference on Recommender Systems (RecSys), 2025
Olivier Jeunen
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166
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11 Aug 2025
PERRY: Policy Evaluation with Confidence Intervals using Auxiliary Data
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Jason Meng
Ge Gao
Jiankai Sun
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Emma Brunskill
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235
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26 Jul 2025
A General Framework for Off-Policy Learning with Partially-Observed Reward
International Conference on Learning Representations (ICLR), 2025
Rikiya Takehi
Masahiro Asami
K. Kawakami
Yuta Saito
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206
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17 Jun 2025
Doubly Robust Alignment for Large Language Models
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Kai Ye
Hongyi Zhou
Luhan Zhu
Francesco Quinzan
Chengchun Shi
358
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01 Jun 2025
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
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Josiah P. Hanna
Jin Zhu
Ying Yang
Chengchun Shi
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261
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28 May 2025
STITCH-OPE: Trajectory Stitching with Guided Diffusion for Off-Policy Evaluation
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Michael Gimelfarb
Nathan Samuel de Lara
Haruki Nishimura
Masha Itkina
Florian Shkurti
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392
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DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects
Shu Tamano
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497
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02 May 2025
Counterfactual Inference under Thompson Sampling
ACM Conference on Recommender Systems (RecSys), 2025
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339
1
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03 Apr 2025
Statistical Tractability of Off-policy Evaluation of History-dependent Policies in POMDPs
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Yuheng Zhang
Nan Jiang
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302
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03 Mar 2025
Clustering Context in Off-Policy Evaluation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Daniel Guzman-Olivares
Philipp Schmidt
Jacek Golebiowski
Artur Bekasov
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217
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28 Feb 2025
Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2024
Shuguang Yu
Shuxing Fang
Ruixin Peng
Zhengling Qi
Fan Zhou
C. Shi
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380
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08 Dec 2024
Concept-driven Off Policy Evaluation
Ritam Majumdar
Jack Teversham
Sonali Parbhoo
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345
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Off-policy estimation with adaptively collected data: the power of online learning
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Jeonghwan Lee
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381
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19 Nov 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation
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Shreyas Chaudhari
Ameet Deshpande
Bruno Castro da Silva
Philip S. Thomas
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266
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Designing an Interpretable Interface for Contextual Bandits
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Matia Gobbo
Lancelot Lachartre
Subash Prabanantham
Rowan Swiers
Puli Liyanagama
257
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23 Sep 2024
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits
ACM Conference on Recommender Systems (RecSys), 2024
Tatsuhiro Shimizu
Koichi Tanaka
Ren Kishimoto
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
CML
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359
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20 Aug 2024
Balancing Immediate Revenue and Future Off-Policy Evaluation in Coupon Allocation
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Ken Kobayashi
Kazuhide Nakata
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198
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06 Jul 2024
Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance Sampling
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Victor-Emmanuel Brunel
David Rohde
Anna Korba
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283
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Combining Experimental and Historical Data for Policy Evaluation
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Chengchun Shi
Qianglin Wen
Yang Sui
Yongli Qin
Chunbo Lai
Hongtu Zhu
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481
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01 Jun 2024
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie
Yash Chandak
Christina J. Yuan
Anirudhan Badrinath
Yannis Flet-Berliac
Emma Brunskil
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291
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27 May 2024
Cross-Validated Off-Policy Evaluation
Matej Cief
Branislav Kveton
Michal Kompan
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357
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24 May 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
Neural Information Processing Systems (NeurIPS), 2024
Otmane Sakhi
Imad Aouali
Pierre Alquier
Nicolas Chopin
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353
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23 May 2024
Optimal Baseline Corrections for Off-Policy Contextual Bandits
ACM Conference on Recommender Systems (RecSys), 2024
Shashank Gupta
Olivier Jeunen
Harrie Oosterhuis
Maarten de Rijke
344
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Long-term Off-Policy Evaluation and Learning
Yuta Saito
Himan Abdollahpouri
Jesse Anderton
Ben Carterette
M. Lalmas
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295
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Hyperparameter Optimization Can Even be Harmful in Off-Policy Learning and How to Deal with It
Yuta Saito
Masahiro Nomura
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344
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Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa
Yi Li
Yulun Wu
Sky Qiu
Yuxuan Li
Mingduo Zhao
Hiroyasu Iso
Mark van der Laan
346
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05 Apr 2024
Doubly-Robust Off-Policy Evaluation with Estimated Logging Policy
Kyungbok Lee
M. Paik
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134
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Multiple-policy Evaluation via Density Estimation
Yilei Chen
Aldo Pacchiano
I. Paschalidis
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413
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29 Mar 2024
On the Curses of Future and History in Future-dependent Value Functions for Off-policy Evaluation
Yuheng Zhang
Nan Jiang
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318
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Bayesian Off-Policy Evaluation and Learning for Large Action Spaces
Imad Aouali
Victor-Emmanuel Brunel
David Rohde
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391
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Offline Multi-task Transfer RL with Representational Penalization
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S. S. Du
Maryam Fazel
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369
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POTEC: Off-Policy Learning for Large Action Spaces via Two-Stage Policy Decomposition
Yuta Saito
Jihan Yao
Thorsten Joachims
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335
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Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
Haruka Kiyohara
Masahiro Nomura
Yuta Saito
703
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03 Feb 2024
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
Yi Guo
Hao Liu
Yisong Yue
Anqi Liu
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297
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Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
Paul Daoudi
Mathias Formoso
Othman Gaizi
Achraf Azize
Evrard Garcelon
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233
0
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Probabilistic Offline Policy Ranking with Approximate Bayesian Computation
Longchao Da
Porter Jenkins
Trevor Schwantes
Jeffrey Dotson
Hua Wei
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246
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Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
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Arnaud Doucet
Rob Cornish
Jean-François Ton
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351
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Robust Offline Reinforcement learning with Heavy-Tailed Rewards
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Jin Zhu
Runzhe Wan
Zhengling Qi
Shuang Luo
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391
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State-Action Similarity-Based Representations for Off-Policy Evaluation
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Brahma S. Pavse
Josiah P. Hanna
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299
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Counterfactual-Augmented Importance Sampling for Semi-Offline Policy Evaluation
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Off-Policy Evaluation for Large Action Spaces via Policy Convolution
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Off-Policy Evaluation for Human Feedback
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Ad-load Balancing via Off-policy Learning in a Content Marketplace
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Doubly Robust Estimator for Off-Policy Evaluation with Large Action Spaces
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Leveraging Factored Action Spaces for Off-Policy Evaluation
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Value-aware Importance Weighting for Off-policy Reinforcement Learning
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Eric Graves
R. Sutton
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272
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