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Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

Deep Reinforcement Learning for Closed-Loop Blood Glucose Control

18 September 2020
Ian Fox
Joyce M. Lee
R. Pop-Busui
Jenna Wiens
    BDL
    OffRL
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Papers citing "Deep Reinforcement Learning for Closed-Loop Blood Glucose Control"

5 / 5 papers shown
Title
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep
  Reinforcement Learning
An Improved Strategy for Blood Glucose Control Using Multi-Step Deep Reinforcement Learning
Weiwei Gu
Senquan Wang
40
5
0
12 Mar 2024
Offline Reinforcement Learning for Safer Blood Glucose Control in People
  with Type 1 Diabetes
Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes
Harry Emerson
Matt Guy
Ryan McConville
OffRL
32
46
0
07 Apr 2022
The Effects of Reward Misspecification: Mapping and Mitigating
  Misaligned Models
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models
Alexander Pan
Kush S. Bhatia
Jacob Steinhardt
53
169
0
10 Jan 2022
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision
  Medicine
ESCADA: Efficient Safety and Context Aware Dose Allocation for Precision Medicine
Ilker Demirel
Ahmet Çelik
Cem Tekin
31
4
0
26 Nov 2021
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood
  Glucose Trajectories
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox
Lynn Ang
M. Jaiswal
R. Pop-Busui
Jenna Wiens
OOD
AI4TS
64
78
0
14 Jun 2018
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