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Q-learning with censored data

Q-learning with censored data

30 May 2012
Y. Goldberg
Michael R. Kosorok
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Q-learning with censored data"

24 / 24 papers shown
Title
Artificial Intelligence-based Decision Support Systems for Precision and
  Digital Health
Artificial Intelligence-based Decision Support Systems for Precision and Digital Health
Nina Deliu
Bibhas Chakraborty
59
5
0
22 Jul 2024
Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
Sophia Yazzourh
Nicolas Savy
Philippe Saint-Pierre
Michael R. Kosorok
OffRL
101
1
0
29 Jun 2024
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable
  Efficiency with Linear Function Approximation
Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation
Zhishuai Liu
Pan Xu
OODOffRL
88
11
0
23 Feb 2024
Lifting the Veil: Unlocking the Power of Depth in Q-learning
Lifting the Veil: Unlocking the Power of Depth in Q-learning
Shao-Bo Lin
Tao Li
Shaojie Tang
Yao Wang
Ding-Xuan Zhou
OffRLOOD
55
0
0
27 Oct 2023
Safe and Interpretable Estimation of Optimal Treatment Regimes
Safe and Interpretable Estimation of Optimal Treatment Regimes
Harsh Parikh
Quinn Lanners
Zade Akras
Sahar F. Zafar
M. P. M. Brandon Westover
Cynthia Rudin
A. Volfovsky
OffRL
36
1
0
23 Oct 2023
Reinforcement learning in large, structured action spaces: A simulation
  study of decision support for spinal cord injury rehabilitation
Reinforcement learning in large, structured action spaces: A simulation study of decision support for spinal cord injury rehabilitation
Nathan Phelps
Stephanie Marrocco
Stephanie Cornell
Dalton L. Wolfe
Daniel J. Lizotte
AI4CE
54
0
0
23 Oct 2023
A Semiparametric Instrumented Difference-in-Differences Approach to
  Policy Learning
A Semiparametric Instrumented Difference-in-Differences Approach to Policy Learning
Pan Zhao
Yifan Cui
CML
78
1
0
14 Oct 2023
Efficient and robust transfer learning of optimal individualized
  treatment regimes with right-censored survival data
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival data
Pan Zhao
Julie Josse
Shu Yang
OffRL
77
3
0
13 Jan 2023
Reinforcement Learning For Survival, A Clinically Motivated Method For
  Critically Ill Patients
Reinforcement Learning For Survival, A Clinically Motivated Method For Critically Ill Patients
Thesath Nanayakkara
OODOffRL
55
0
0
17 Jul 2022
Predicting the Need for Blood Transfusion in Intensive Care Units with
  Reinforcement Learning
Predicting the Need for Blood Transfusion in Intensive Care Units with Reinforcement Learning
Yuqing Wang
Yun Zhao
Linda R. Petzold
OffRL
59
5
0
26 Jun 2022
Reinforcement Learning in Modern Biostatistics: Constructing Optimal
  Adaptive Interventions
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Nina Deliu
Joseph Jay Williams
B. Chakraborty
OffRL
76
5
0
04 Mar 2022
Glucose values prediction five years ahead with a new framework of
  missing responses in reproducing kernel Hilbert spaces, and the use of
  continuous glucose monitoring technology
Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology
Marcos Matabuena
Paulo Félix
C. Meijide-García
F. Gudé
98
0
0
11 Dec 2020
Nearly Dimension-Independent Sparse Linear Bandit over Small Action
  Spaces via Best Subset Selection
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
Yining Wang
Yi Chen
Ethan X. Fang
Zhaoran Wang
Runze Li
131
16
0
04 Sep 2020
Multicategory Angle-based Learning for Estimating Optimal Dynamic
  Treatment Regimes with Censored Data
Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data
F. Xue
Yanqing Zhang
Wenzhuo Zhou
H. Fu
Annie Qu
63
15
0
14 Jan 2020
Reinforcement Learning in Healthcare: A Survey
Reinforcement Learning in Healthcare: A Survey
Chao Yu
Jiming Liu
S. Nemati
LM&MAOffRL
200
579
0
22 Aug 2019
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
Hoeffding-Type and Bernstein-Type Inequalities for Right Censored Data
Y. Goldberg
35
1
0
05 Mar 2019
A Theoretical Analysis of Deep Q-Learning
A Theoretical Analysis of Deep Q-Learning
Jianqing Fan
Zhuoran Yang
Yuchen Xie
Zhaoran Wang
203
611
0
01 Jan 2019
Deep Reinforcement Learning
Deep Reinforcement Learning
Yuxi Li
VLMOffRL
194
144
0
15 Oct 2018
A clustering-based reinforcement learning approach for tailored
  personalization of e-Health interventions
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions
Ali el Hassouni
Mark Hoogendoorn
M. V. Otterlo
A. E. Eiben
Vesa Muhonen
E. Barbaro
OffRL
36
20
0
10 Apr 2018
Tree based weighted learning for estimating individualized treatment
  rules with censored data
Tree based weighted learning for estimating individualized treatment rules with censored data
Yifan Cui
Ruoqing Zhu
Michael R. Kosorok
CML
55
47
0
30 Jul 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
346
1,549
0
25 Jan 2017
On Estimation of Optimal Treatment Regimes For Maximizing t-Year
  Survival Probability
On Estimation of Optimal Treatment Regimes For Maximizing t-Year Survival Probability
Runchao Jiang
Wenbin Lu
Rui Song
M. Davidian
90
60
0
29 Jul 2014
Constructing Dynamic Treatment Regimes in Infinite-Horizon Settings
Constructing Dynamic Treatment Regimes in Infinite-Horizon Settings
Ashkan Ertefaie
127
21
0
03 Jun 2014
Support Vector Regression for Right Censored Data
Support Vector Regression for Right Censored Data
Y. Goldberg
Michael R. Kosorok
133
28
0
23 Feb 2012
1