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 ![header](img/header.png)
-<h1>Reinforcement Learning based Artificial Pancreas Systems.</h1>
+<h1>G2P2C: Reinforcement Learning based Artificial Pancreas Systems.</h1>
+[![CI](/~https://github.com/chirathyh/G2P2C/blob/main/.github/workflows/python-app.yml/badge.svg)](/~https://github.com/chirathyh/G2P2C/blob/main/.github/workflows/python-app.yml)
 
 Type 1 Diabetes (T1D) is casued by the autoimmune destruction of the islet beta-cells and results in absolute insulin deficiency (cover image: Human islet of Langerhans created by Stable Diffusion). Hence, external administration of insulin is required to maintain glucose levels, which is cruicial as both low and high glucose levels are detrimental to health. This is usually done through an insulin pump attached to the body. An continuous glucose sensor is also attached to measure the glucose levels so that a control algorithm can estimate the appropriate insulin dose. In this project we design Reinforcement Learning (RL) based Artificial Pancreas Systems (APS) for the glucose control problem. The figure below shows the main components of an APS.