In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

In this paper, we test and evaluate policy gradient reinforcement learning for automated blood glucose control in patients with Type 1 Diabetes Mellitus. Recent research has shown that reinforcement learning is a promising approach to accommodate the need for individualized blood glucose level contr...

Full description

Bibliographic Details
Main Authors:	Jonas Nordhaug Myhre, Miguel Tejedor, Ilkka Kalervo Launonen, Anas El Fathi, Fred Godtliebsen
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Applied Sciences
Subjects:	reinforcement learning Type 1 Diabetes Mellitus policy gradient deep learning artificial pancreas
Online Access:	https://www.mdpi.com/2076-3417/10/18/6350

Similar Items

Evaluating Deep Q-Learning Algorithms for Controlling Blood Glucose in In Silico Type 1 Diabetes
by: Miguel Tejedor, et al.
Published: (2023-10-01)

Data-Driven Robust Control Using Reinforcement Learning
by: Phuong D. Ngo, et al.
Published: (2022-02-01)

Function approximation method based on weights gradient descent in reinforcement learning
by: Xiaoyan QIN, Yuhan LIU, Yunlong XU, Bin LI
Published: (2023-08-01)

A Gradient-Based Reinforcement Learning Algorithm for Multiple Cooperative Agents
by: Zhen Zhang, et al.
Published: (2018-01-01)

Evaluation of Offline Reinforcement Learning for Blood Glucose Level Control in Type 1 Diabetes
by: Phuwadol Viroonluecha, et al.
Published: (2023-01-01)

Generative Adversarial Inverse Reinforcement Learning With Deep Deterministic Policy Gradient
by: Ming Zhan, et al.
Published: (2023-01-01)

Diagnostic Evaluation of Policy-Gradient-Based Ranking
by: Hai-Tao Yu, et al.
Published: (2021-12-01)

Exploring Parameter Space in Reinforcement Learning
by: Rückstieß Thomas, et al.
Published: (2010-03-01)

Meta-Learning via Weighted Gradient Update
by: Zhixiong Xu, et al.
Published: (2019-01-01)

Adaptive Human–Machine Evaluation Framework Using Stochastic Gradient Descent-Based Reinforcement Learning for Dynamic Competing Network
by: Jinbae Kim, et al.
Published: (2020-04-01)

Reinforcement Learning for Systematic FX Trading
by: Gabriel Borrageiro, et al.
Published: (2022-01-01)

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning
by: Taiyu Zhu, et al.
Published: (2020-09-01)

Analysis of Mobile Robot Control by Reinforcement Learning Algorithm
by: Jakub Bernat, et al.
Published: (2022-05-01)

Deep imitation reinforcement learning for self‐driving by vision
by: Qijie Zou, et al.
Published: (2021-12-01)

Exploration of network centrality in goal conditioned reinforcement learning
by: Sharma Divyansh
Published: (2024)

Distributional Reinforcement Learning with Ensembles
by: Björn Lindenberg, et al.
Published: (2020-05-01)

Semi-Supervised Speech Recognition Acoustic Model Training Using Policy Gradient
by: Hoon Chung, et al.
Published: (2020-05-01)

Research on Wargame Decision-Making Method Based on Multi-Agent Deep Deterministic Policy Gradient
by: Sheng Yu, et al.
Published: (2023-04-01)

Meta-inverse Reinforcement Learning Method Based on Relative Entropy
by: WU Shao-bo, FU Qi-ming, CHEN Jian-ping, WU Hong-jie, LU You
Published: (2021-09-01)

Multi-Feature Supervised Reinforcement Learning for Stock Trading
by: Kui Fu, et al.
Published: (2023-01-01)

Machine learning in pancreas surgery, what is new? literature review
by: Anas Taha, et al.
Published: (2023-06-01)

Joint Communication and Action Learning in Multi-Target Tracking of UAV Swarms with Deep Reinforcement Learning
by: Wenhong Zhou, et al.
Published: (2022-11-01)

Robotic-Arm-Based Force Control by Deep Deterministic Policy Gradient in Neurosurgical Practice
by: Ibai Inziarte-Hidalgo, et al.
Published: (2023-09-01)

A Particle Reinforced Gradient Honeycomb Sandwich Panel for Broadband Sound Insulation
by: Geman Shi, et al.
Published: (2023-01-01)

Gradient Amplification: An Efficient Way to Train Deep Neural Networks
by: Sunitha Basodi, et al.
Published: (2020-09-01)

Base Station Power Optimization for Green Networks Using Reinforcement Learning
by: Hande Alemdar, et al.
Published: (2021-08-01)

UGV Navigation Optimization Aided by Reinforcement Learning-Based Path Tracking
by: Minggao Wei, et al.
Published: (2018-01-01)

Policy gradient methods for linear quadratic problems
by: Yang, H
Published: (2022)

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges
by: Matthias Hutsebaut-Buysse, et al.
Published: (2022-02-01)

Gradient Descent Effects on Differential Neural Architecture Search: A Survey
by: Santanu Santra, et al.
Published: (2021-01-01)

Adaptive Sliding Mode Disturbance Observer and Deep Reinforcement Learning Based Motion Control for Micropositioners
by: Shiyun Liang, et al.
Published: (2022-03-01)

Agent-Based Energy Sharing Mechanism Using Deep Deterministic Policy Gradient Algorithm
by: Yi Kuang, et al.
Published: (2020-09-01)

DDRCN: Deep Deterministic Policy Gradient Recommendation Framework Fused with Deep Cross Networks
by: Tianhan Gao, et al.
Published: (2023-02-01)

DrugEx v3: scaffold-constrained drug design with graph transformer-based reinforcement learning
by: Xuhan Liu, et al.
Published: (2023-02-01)

Reinforcement Learning : An Introduction /
by: Sutton, Richard S., author 179941, et al.
Published: ([201)

Decentralized control in active distribution grids via supervised and reinforcement learning
by: Stavros Karagiannopoulos, et al.
Published: (2024-05-01)

Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction
by: Dongfang Zhao, et al.
Published: (2024-01-01)

End-to-end UAV obstacle avoidance decision based on deep reinforcement learning
by: ZHANG Yunyan, et al.
Published: (2022-10-01)

Performance Improvement of Linux CPU Scheduler Using Policy Gradient Reinforcement Learning for Android Smartphones
by: Junyeong Han, et al.
Published: (2020-01-01)

Towards robust reinforcement learning
by: Paul, S
Published: (2020)