[2604.00385] GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Computer Science > Machine Learning arXiv:2604.00385 (cs) [Submitted on 1 Apr 2026] Title:GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes Authors:Saman Khamesian, Sri Harini Balaji, Di Yang Shi, Stephanie M. Carpenter, Daniel E. Rivera, W. Bradley Knox, Peter Stone, Hassan Ghasemzadeh View a PDF of the paper titled GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes, by Saman Khamesian and 7 other authors View PDF HTML (experimental) Abstract:Type 1 Diabetes (T1D) management requires continuous adjustment of insulin and lifestyle behaviors to maintain blood glucose within a safe target range. Although automated insulin delivery (AID) systems have improved glycemic outcomes, many patients still fail to achieve recommended clinical targets, warranting new approaches to improve glucose control in patients with T1D. While reinforcement learning (RL) has been utilized as a promising approach, current RL-based methods focus primarily on insulin-only treatment and do not provide behavioral recommendations for glucose control. To address this gap, we propose GUIDE, an RL-based decision-support framework designed to complement AID technologies by providing behavioral recommendations to prevent abnormal glucose events. GUIDE generates structured actions defined by intervention type, magnitude, and timing, including bolus insulin administration and carbohydrate intake events. GUIDE integrates a patient-specific glucose level p...