Stochastic optimal control in the perspective of the Wiener chaos

We propose a novel and generic methodology for solving continuous finite-horizon stochastic optimal control problems. We develop innovative ideas for approximating controlled stochastic differential equations within the Wiener chaos framework and expand them to reformulate stochastic optimal control problems directly into deterministic ones. Within our approach we present how to preserve the feedback character of the optimal Markov decision rules.