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.