Naoya Kumagai

On the Optimality of Markovian Policies for Chance-Constrained Covariance Steering

It is shown that, even for the covariance steering problem with a broad class of commonly used state and control safety constraints, the synthesized Markovian policy almost surely produces the same control actions as the history-dependent policy and therefore the same state trajectories, cost, and moments.