GluCoEnv
GluCoEnv is a PyTorch-based physiological simulation environment designed for reinforcement-learning experiments in glucose control. It supports vectorized virtual subjects, configurable meal scenarios, glucose sensors, insulin pumps, benchmark controllers and reproducible settings.
RL4T1D
RL4T1D organizes agents, environments, clinical comparators, metrics and experiment configuration into a reusable research codebase. It includes infrastructure for both online and offline reinforcement-learning studies.
CAPSML
CAPSML (opens in a new tab) makes automated insulin-delivery research accessible through an interactive simulation interface. Users can explore virtual Type 1 Diabetes scenarios, compare dosing strategies, and inspect simulated glucose and insulin-delivery trajectories.
The platform supports research and education through in-silico experiments; it is not a clinical decision-support system.