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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

10 April 2018
Ali el Hassouni
Mark Hoogendoorn
M. V. Otterlo
A. E. Eiben
Vesa Muhonen
E. Barbaro
    OffRL
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Papers citing "A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions"

5 / 5 papers shown
Title
Increasing Entropy to Boost Policy Gradient Performance on
  Personalization Tasks
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks
Andrew Starnes
Anton Dereventsov
Clayton Webster
21
0
0
09 Oct 2023
Examining Policy Entropy of Reinforcement Learning Agents for
  Personalization Tasks
Examining Policy Entropy of Reinforcement Learning Agents for Personalization Tasks
Anton Dereventsov
Andrew Starnes
Clayton Webster
18
4
0
21 Nov 2022
Simulated Contextual Bandits for Personalization Tasks from
  Recommendation Datasets
Simulated Contextual Bandits for Personalization Tasks from Recommendation Datasets
Anton Dereventsov
A. Bibin
16
1
0
12 Oct 2022
A Batch, Off-Policy, Actor-Critic Algorithm for Optimizing the Average
  Reward
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
Q-learning with censored data
Q-learning with censored data
Y. Goldberg
Michael R. Kosorok
OffRL
57
136
0
30 May 2012
1