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Estimating and Improving Dynamic Treatment Regimes With a Time-Varying
  Instrumental Variable

Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable

15 April 2021
Shuxiao Chen
B. Zhang
ArXivPDFHTML

Papers citing "Estimating and Improving Dynamic Treatment Regimes With a Time-Varying Instrumental Variable"

10 / 10 papers shown
Title
A Unified Framework of Policy Learning for Contextual Bandit with
  Confounding Bias and Missing Observations
A Unified Framework of Policy Learning for Contextual Bandit with Confounding Bias and Missing Observations
Siyu Chen
Yitan Wang
Zhaoran Wang
Zhuoran Yang
OffRL
36
2
0
20 Mar 2023
A Survey on Causal Reinforcement Learning
A Survey on Causal Reinforcement Learning
Yan Zeng
Ruichu Cai
Gang Hua
Libo Huang
Zhifeng Hao
CML
26
27
0
10 Feb 2023
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous
  Unobserved Confounders
Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
David Bruns-Smith
Angela Zhou
OffRL
18
9
0
01 Feb 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
Yang Xu
Jin Zhu
C. Shi
Shuang Luo
R. Song
OffRL
21
14
0
29 Dec 2022
Offline Reinforcement Learning for Human-Guided Human-Machine
  Interaction with Private Information
Offline Reinforcement Learning for Human-Guided Human-Machine Interaction with Private Information
Zuyue Fu
Zhengling Qi
Zhuoran Yang
Zhaoran Wang
Lan Wang
OffRL
20
0
0
23 Dec 2022
Statistical Estimation of Confounded Linear MDPs: An Instrumental
  Variable Approach
Statistical Estimation of Confounded Linear MDPs: An Instrumental Variable Approach
Miao Lu
Wenhao Yang
Liangyu Zhang
Zhihua Zhang
OffRL
34
1
0
12 Sep 2022
Strategic Decision-Making in the Presence of Information Asymmetry:
  Provably Efficient RL with Algorithmic Instruments
Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments
Mengxin Yu
Zhuoran Yang
Jianqing Fan
OffRL
21
8
0
23 Aug 2022
Adaptive Discretization in Online Reinforcement Learning
Adaptive Discretization in Online Reinforcement Learning
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
OffRL
40
15
0
29 Oct 2021
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in
  Partially Observed Markov Decision Processes
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision Processes
Andrew Bennett
Nathan Kallus
OffRL
24
41
0
28 Oct 2021
Instrumental Variable Value Iteration for Causal Offline Reinforcement
  Learning
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Luofeng Liao
Zuyue Fu
Zhuoran Yang
Yixin Wang
Mladen Kolar
Zhaoran Wang
OffRL
18
34
0
19 Feb 2021
1