  Motivated by the applications, a class of optimal control problems is
investigated, where the goal is to influence the behavior of a given population
through another controlled one interacting with the first. Diffusive terms
accounting for randomness in the evolution are taken into account. A
well-posedness theory under very low regularity of the control vector fields is
developed, as well as a rigorous derivation from stochastic particle systems.
