“…In literature, there are some algorithms for solving high-dimensional optimal control problems (or the corresponding Hamilton-Jacobi PDEs), which include optimization methods [18,24,21,23,15,14,87,60,55], max-plus methods [1,2,29,35,39,67,66,68,69], tensor decomposition techniques [28,44,86], sparse grids [10,37,53], polynomial approximation [51,52], model order reduction [4,57], optimistic planning [9], dynamic programming and reinforcement learning [13,11,3,8,89], as well as methods based on neural networks [5,6,27,47,42,45,46,58,73,78,81,84,62,20,…”