All the codes are available on GitHub.
At the moment there are the following repositories:
Tensor Train (TT) Gradient Cross algorithm for the resolution of Hamilton Jacobi Bellman equation.
This repository implements dynamical low-rank approximation (DLRA) techniques for optimal control of the nonlinear Burgers' equation in 1D and 2D using feedback laws obtained from the solution of matrix Riccati equations.
An algorithm based on a Tree Structure for the resolution of finite horizon optimal control problems based on Hamilton Jacobi Bellman equation.
A multilinear algorithm to approximate the solution of the Hamilton-Jacobi-Bellman (HJB) equation based on the coupling of Tree Structure Algorithm and multilinear HO-POD-DEIM.