Reinforcement Learning Based Automated Insulin Infusion: In Silico Feasibility Study

Abstract

For an advanced artificial pancreas, the automation of insulin treatment is of great interest in clinical and research aspects. Despite recent algorithmic advances, there are fundamental challenges to overcome, such as uncertainties from unannounced meals and delays from ‘‘insulin stacking.’’ In this study, we propose a reinforcement based automated insulin infusion algorithm.