Dynamic programming using radial basis functions
  We propose a discretization of the optimality principle in dynamic programming based on radial basis functions and Shepard's moving least squares approximation method. We prove convergence of the approximate optimal value function to the true one and present several numerical experiments. 
Oliver Junge, Alex Schreiber
math.OC