In this work, we study optimistic planning methods to solve some state-constrained optimal control problems in finite horizon. While classical for calculating the value function are generally based on a discretization state space, algorithms have advantage of using adaptive space. These approaches therefore very suitable where dimension variable is low and allow deal with space can be high. Our...