Stochastic Optimal Control with Delay in the Control I: solving the HJB equation through partial smoothing
F. Gozzi, F. Masiero

TL;DR
This paper addresses the challenging problem of solving the Hamilton-Jacobi-Bellman equation for stochastic control systems with delay in the control, introducing a partial smoothing approach to establish the existence of regular solutions.
Contribution
It provides the first known existence results for regular solutions of HJB equations with delay in control using partial smoothing techniques.
Findings
Established partial smoothing property for the transition semigroup
Proved existence of regular solutions for a specific class of delay equations
Paves the way for deriving optimal feedback controls in delayed systems
Abstract
Stochastic optimal control problems governed by delay equations with delay in the control are usually more difficult to study than the the ones when the delay appears only in the state. This is particularly true when we look at the associated Hamilton-Jacobi-Bellman (HJB) equation. Indeed, even in the simplified setting (introduced first by Vinter and Kwong for the deterministic case) the HJB equation is an infinite dimensional second order semilinear Partial Differential Equation (PDE) that does not satisfy the so-called "structure condition" which substantially means that the control can act on the system modifying its dynamics at most along the same directions along which the noise acts. The absence of such condition, together with the lack of smoothing properties which is a common feature of problems with delay, prevents the use of the known techniques (based on Backward…
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