A DRL-based event-triggered controller for networked artificial pancreas systems uses blood glucose change rules to formulate control as a semi-Markov decision process, improving communication efficiency.
Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes,
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Application of Deep Reinforcement Learning to Event-Triggered Control for Networked Artificial Pancreas Systems
A DRL-based event-triggered controller for networked artificial pancreas systems uses blood glucose change rules to formulate control as a semi-Markov decision process, improving communication efficiency.