HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python

Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.

『PythonとCasADiで学ぶモデル予測制御』 サポートサイト

Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.

MHE Interview Problem