/DRL-for-BG-Control

Implemetation of TD3 algorithm as controller for BG running simglucose env on OpenAI GYM

MIT LicenseMIT

TD3 DRL Algorithm operating in simglucose simulator

An implementation of the twin delayed deep deterministic policy gradient algorithm designed as a controller for simglucose. based on @inproceedings{fujimoto2018addressing, title={Addressing Function Approximation Error in Actor-Critic Methods}, author={Fujimoto, Scott and Hoof, Herke and Meger, David}, booktitle={International Conference on Machine Learning}, pages={1582--1591}, year={2018} }

This simulator is a python implementation of the FDA-approved UVa/Padova Simulator (2008 version) for research purpose only. The simulator includes 30 virtual patients, 10 adolescents, 10 adults, 10 children. Jinyu Xie. Simglucose v0.2.1 (2018) [Online]. Avaible: https://github.com/jxx123/simglucose. Accessed on: Month-Date-Year.

  • Note: simglucose only supports python3.