PhD student Miguel is in Rome for two weeks working closely with Professor Giovanni Sebastiani.
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Our research “Reinforcement Learning Optimal Control for Type-1 Diabetes” was presented at the IEEE Conference on Biomedical and Health Informatics (BHI) 2018 (4-7 March 2018). BHI is the flagship conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS) on the topics of informatics and computing in healthcare and life sciences.
Professor Giovanni Sebastiani has once again visited the group. On the agenda this time was getting a mathematical overview over the three most widely used simulators for T1DM. More precisely the Hovorka/Cambridge simulator, the UVA/Padova model and Bergman’s minimal model.
At the heart of this project lies Reinforcement Learning: Reinforcement learning (RL) is an area of machine learning inspired by behaviourist psychology, concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward. This is the definition given by Wikipedia. If we now look closer Read More
