Reinforcement learning (RL) for continuous control typically employs distributions whose
support covers the entire action space. In this work, we investigate the colloquially known …

This paper investigates stability properties of affine optimal control problems constrained by
semilinear elliptic partial differential equations. This is done by studying the so called metric …

In this paper, we analyze optimal control problems governed by semilinear parabolic
equations. Box constraints for the controls are imposed, and the cost functional involves the …

In this paper, we analyze optimal control problems of semilinear parabolic equations, where
the controls are distributed and depend only on time. Box constraints for the controls are …

In this paper, we describe a numerical framework for achieving passive thermal cloaking of
arbitrary shapes in both static and transient regimes. The design strategy is cast as the …

The paper investigates stability properties of solutions of optimal control problems
constrained by semilinear parabolic partial differential equations. Hölder or Lipschitz …

A distributed optimal control problem for a semilinear parabolic partial differential equation is
investigated. The stability of locally optimal solutions with respect to perturbations of the …

We consider optimal control problems for partial differential equations where the controls
take binary values but vary over the time horizon; they can thus be seen as dynamic …

In this article we study an optimal control problem subject to the Fokker-Planck equation∂ t
ρ− ν∆ ρ− div (ρB [u])= 0∂ tρ-νΔρ-div ρB [u]= 0. The control variable u is time-dependent and …

Optimal control problems of partial differential equations are studied. Though the focus lies
on elliptic partial differential equations, similar methods can be used for the analysis of …