A constrained RL framework combining impulse and switching control achieves the highest time-in-range and zero simulated hypoglycemia for T1DM insulin dosing.
+γl−1E R(yτ1−1,η τ1−1) +γ T vπ,˜g (yτ1 ) =v(y) where the first inequality is true by assumption on Mi
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Reinforcement Learning for Target Zone Blood Glucose Control
A constrained RL framework combining impulse and switching control achieves the highest time-in-range and zero simulated hypoglycemia for T1DM insulin dosing.