  In this paper we present a method to approximate optimal feedback controls
for stochastic reaction-diffusion equations. We derive two approximation
results providing the theoretical foundation of our approach and allowing for
explicit error estimates. The approximation of optimal feedback controls by
neural networks is discussed as an explicit application of our method. Finally
we provide a numerical examples to illustrate our findings.
