Convergence Issues in Stochastic Optimization

In this chapter, we prove a convergence theorem for appropriate notions of noise and information convergence in closed-loop stochastic optimization problems. The main Theorem is based on epi-convergence results, which take into account constraints defined by characteristic functions of sets.