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2110.10719
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Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning
20 October 2021
Wenzhuo Zhou
Ruoqing Zhu
A. Qu
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Papers citing
"Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning"
19 / 19 papers shown
Title
Reinforcement Learning for Individual Optimal Policy from Heterogeneous Data
Rui Miao
B. Shahbaba
A. Qu
OffRL
13
0
0
14 May 2025
Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
Yuhan Li
Eugene Han
Yifan Hu
Wenzhuo Zhou
Zhengling Qi
Yifan Cui
Ruoqing Zhu
OffRL
114
0
0
01 May 2025
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
62
0
0
22 Feb 2025
Low-Rank Online Dynamic Assortment with Dual Contextual Information
Seong Jin Lee
Will Wei Sun
Yufeng Liu
25
0
0
19 Apr 2024
AI in Pharma for Personalized Sequential Decision-Making: Methods, Applications and Opportunities
Yuhan Li
Hongtao Zhang
Keaven M Anderson
Songzi Li
Ruoqing Zhu
27
0
0
30 Nov 2023
Stage-Aware Learning for Dynamic Treatments
Han Ye
Wenzhuo Zhou
Ruoqing Zhu
Annie Qu
15
1
0
30 Oct 2023
Bi-Level Offline Policy Optimization with Limited Exploration
Wenzhuo Zhou
OffRL
34
4
0
10 Oct 2023
Stackelberg Batch Policy Learning
Wenzhuo Zhou
Annie Qu
OffRL
27
0
0
28 Sep 2023
Distributional Shift-Aware Off-Policy Interval Estimation: A Unified Error Quantification Framework
Wenzhuo Zhou
Yuhan Li
Ruoqing Zhu
Annie Qu
OffRL
21
4
0
23 Sep 2023
Off-policy Evaluation in Doubly Inhomogeneous Environments
Zeyu Bian
C. Shi
Zhengling Qi
Lan Wang
OffRL
27
3
0
14 Jun 2023
Sequential Knockoffs for Variable Selection in Reinforcement Learning
Tao Ma
Hengrui Cai
Zhengling Qi
C. Shi
Eric B. Laber
16
3
0
24 Mar 2023
Quasi-optimal Reinforcement Learning with Continuous Actions
Yuhan Li
Wenzhuo Zhou
Ruoqing Zhu
OffRL
19
5
0
21 Jan 2023
Deep Spectral Q-learning with Application to Mobile Health
Yuhe Gao
C. Shi
R. Song
6
0
0
03 Jan 2023
Doubly Inhomogeneous Reinforcement Learning
Liyuan Hu
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
19
2
0
08 Nov 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu
Joseph Jay Williams
B. Chakraborty
OffRL
17
5
0
04 Mar 2022
Testing Stationarity and Change Point Detection in Reinforcement Learning
Mengbing Li
C. Shi
Zhanghua Wu
Piotr Fryzlewicz
OffRL
32
9
0
03 Mar 2022
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons
C. Shi
S. Luo
Yuan Le
Hongtu Zhu
R. Song
OffRL
OnRL
24
10
0
26 Feb 2022
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets
C. Shi
Runzhe Wan
Ge Song
S. Luo
R. Song
Hongtu Zhu
OffRL
33
6
0
21 Feb 2022
A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average Reward
S. Murphy
Yanzhen Deng
Eric B. Laber
H. Maei
R. Sutton
K. Witkiewitz
OffRL
25
22
0
18 Jul 2016
1