Reinforcement Learning (RL) is a Machine Learning (ML) paradigm, used for decision-making tasks, where an agent learns to achieve a specified goal, by interacting with its underlying environment. Compared to the widely explored games and physics simulation problems in RL, real-world RL systems must contend with much more technical challenges. We explore the use of RL in healthcare applications.
Reinforcement Learning based Artificial Pancreas Systems for Controlling Blood Glucose in Type 1 Diabetes.
GluCoEnv - Glucose Control Environment, is a simulation environment which aims to facilitate the development of Reinforcement Learning based Artificial Pancreas Systems for Glucose Control in Type 1 Diabetes.
This organization has no public members. You must be a member to see who’s a part of this organization.
Loading…
Loading…