Offline Reinforcement Learning for Safer Blood Glucose Control in People with Type 1 Diabetes. (arXiv:2204.03376v1 [cs.LG])

Hybrid closed loop systems represent the future of care for people with type
1 diabetes (T1D). These devices usually utilise simple control algorithms to
select the optimal insulin dose for maintaining blood glucose levels within a
healthy range. Online reinforcement learning (RL) has been utilised as a method
for further enhancing glucose control in these devices. Previous approaches
have been shown to reduce patient risk and improve time spent in the target
range when compared to classical control algorithms, but …

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