Matthew Guy's scientific contributions
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (2)
The widespread adoption of effective hybrid closed loop systems would represent an important milestone of care for people living with type 1 diabetes (T1D). These devices typically utilise simple control algorithms to select the optimal insulin dose for maintaining blood glucose levels within a healthy range. Online reinforcement learning (RL) has...
Citations
... First, we will extend ADESSE to be able to deal with environments with continuous state/action space, beyond grid world environments considered in this work. For example, there has been increasing interest in using deep learning to predict future blood glucose levels of diabetes patients and then compute an advised insulin dosage based on the prediction via deep reinforcement learning [39]. Moreover, we will explore an extension to the multi-agent setting where advice is computed via multi-agent DRL. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/607818088468480-1521926533496_Q64/Ryan-Mcconville-2.jpg)
