Learning When-to-Treat Policies

23 May 2019

Papers citing "Learning When-to-Treat Policies"

26 / 26 papers shown

Title
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 80 1 0 17 Jan 2025
Fitted Q-Iteration via Max-Plus-Linear Approximation Y. Liu Mohammad Amin Sharifi Kolarijani 48 0 0 12 Sep 2024
Functional Acceleration for Policy Mirror Descent Veronica Chelu Doina Precup 30 0 0 23 Jul 2024
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning Pan Zhao Yifan Cui CML 34 1 0 14 Oct 2023
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation Thanh Nguyen-Tang R. Arora OffRL 51 5 0 24 Feb 2023
HOPE: Human-Centric Off-Policy Evaluation for E-Learning and Healthcare Ge Gao Song Ju Markel Sanz Ausin Min Chi OffRL 29 8 0 18 Feb 2023
Infinite Action Contextual Bandits with Reusable Data Exhaust Mark Rucker Yinglun Zhu Paul Mineiro OffRL 21 1 0 16 Feb 2023
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation Thanh Nguyen-Tang Ming Yin Sunil R. Gupta Svetha Venkatesh R. Arora OffRL 58 16 0 23 Nov 2022
Counterfactual Learning with Multioutput Deep Kernels A. Caron G. Baio I. Manolopoulou BDL CML OffRL 25 1 0 20 Nov 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 41 22 0 14 Sep 2022
Game-Theoretic Algorithms for Conditional Moment Matching Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu 18 0 0 19 Aug 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 25 5 0 01 Jul 2022
Interpretable Deep Causal Learning for Moderation Effects A. Caron G. Baio I. Manolopoulou CML OOD 33 2 0 21 Jun 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 35 11 0 14 Apr 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning Mengbing Li C. Shi Zhanghua Wu Piotr Fryzlewicz OffRL 42 9 0 03 Mar 2022
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization Thanh Nguyen-Tang Sunil R. Gupta A. Nguyen Svetha Venkatesh OffRL 34 29 0 27 Nov 2021
Offline Reinforcement Learning: Fundamental Barriers for Value Function Approximation Dylan J. Foster A. Krishnamurthy D. Simchi-Levi Yunzong Xu OffRL 21 62 0 21 Nov 2021
Off-Policy Evaluation in Partially Observed Markov Decision Processes under Sequential Ignorability Yupeng Tang Seung-seob Lee OffRL 52 22 0 24 Oct 2021
GEAR: On Optimal Decision Making with Auxiliary Data Hengrui Cai R. Song Wenbin Lu 29 1 0 21 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 35 100 0 30 Mar 2021
Estimating the Long-Term Effects of Novel Treatments Keith Battocchi E. Dillon Maggie Hei Greg Lewis M. Oprescu Vasilis Syrgkanis CML 22 10 0 15 Mar 2021
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding Hongseok Namkoong Ramtin Keramati Steve Yadlowsky Emma Brunskill OffRL 24 63 0 12 Mar 2020
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning Cameron Voloshin Hoang Minh Le Nan Jiang Yisong Yue OffRL 30 152 0 15 Nov 2019
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 41 183 0 22 Aug 2019
Policy Targeting under Network Interference Davide Viviano 38 33 0 24 Jun 2019
Off-Policy Actor-Critic T. Degris Martha White R. Sutton OffRL CML 163 220 0 22 May 2012