Kullback-Leibler (KL) control enables efficient numerical methods for nonlinear optimal problems. The crucial assumption of KL is the full controllability transition distribution. However, this often violated when dynamics evolves in a continuous space. Consequently, applying to problems with spaces requires some approximation, which leads lost optimality. To avoid such paper, we reformulate pr...
