Evaluation of Offline Reinforcement Learning for Blood Glucose Level Control in Type 1 Diabetes
Phuwadol Viroonluecha,
Esteban Egea-Lopez,
Jose Santa
Abstract:Patients with Type 1 diabetes must closely monitor their blood glucose levels and inject insulin to control them. Automated glucose control methods that remove the need for human intervention have been proposed, and recently reinforcement learning has been used as an effective control method in simulation environments. However, its real-world application would require trial and error interaction with patients. As an alternative, offline reinforcement learning does not require interaction with humans and initia… Show more
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