Underdamped Stochastic Optimal Transport with Landauer boundary conditions: machine learning and analytical solution

Finding optimal transport protocols for underdamped stochastic processes is a difficult yet important problem in control theory. In this paper we develop a direct method, based on machine learning, to find the optimal solution of the problem in the presence of non-linear boundary conditions, includi