activity
20192026
most citedPeng's Maximum Principle for Stochastic Partial Differential Equations

9 citations · 18 across the 9 of their papers we have counts for

collaborators

9 papers

math.AP2026

Mean Field Games in Hilbert Spaces with Degenerate Diffusion: A Viscosity Solution Approach

Andrzej Święch, Lukas Wessels

We study a degenerate second order mean field game (MFG) system in a Hilbert space which couples a Fokker--Planck equation describing the evolution of probability measures on $…

math.PR2025

Peng's Maximum Principle for Stochastic Delay Differential Equations of Mean-Field Type

Giuseppina Guatteri, Federica Masiero, Lukas Wessels

We extend Peng's maximum principle to the case of stochastic delay differential equations of mean-field type. More precisely, the coefficients of our control problem depend on the…

math.PR2025

Stochastic Optimal Control of Interacting Particle Systems in Hilbert Spaces and Applications

Filippo de Feo, Fausto Gozzi, Andrzej Święch +1

Optimal control of interacting particles governed by stochastic evolution equations in Hilbert spaces is an open area of research. Such systems naturally arise in formulations wher…

math.OC2024

Finite Dimensional Projections of HJB Equations in the Wasserstein Space

Andrzej Święch, Lukas Wessels

This paper continues the study of controlled interacting particle systems with common noise started in [W. Gangbo, S. Mayorga and A. Święch, SIAM J. Math. Anal. 53 (2021), no. 2, 1…

math.OC2023★ 1 cited

Stochastic optimal control in Hilbert spaces: regularity of the value function and optimal synthesis via viscosity solutions

Filippo de Feo, Andrzej Święch, Lukas Wessels

We study optimal control problems governed by abstract infinite dimensional stochastic differential equations using the dynamic programming approach. In the first part, we prove Li…

math.PR2023

Semilinear Feynman-Kac Formulae for -Continuous Viscosity Solutions

Lukas Wessels

We prove the existence of a -continuous viscosity solution for a class of infinite dimensional semilinear partial differential equations (PDEs) using probabilistic methods. Our…

math.OC2023★ 3 cited

Neural Network Approximation of Optimal Controls for Stochastic Reaction-Diffusion Equations

Wilhelm Stannat, Alexander Vogler, Lukas Wessels

We present a numerical algorithm that allows the approximation of optimal controls for stochastic reaction-diffusion equations with additive noise by first reducing the problem to…

math.PR2021★ 9 cited

Peng's Maximum Principle for Stochastic Partial Differential Equations

Wilhelm Stannat, Lukas Wessels

We extend Peng's maximum principle for semilinear stochastic partial differential equations (SPDEs) in one space-dimension with non-convex control domains and control-dependent dif…

math.OC2019★ 5 cited

Deterministic Control of Stochastic Reaction-Diffusion Equations

Wilhelm Stannat, Lukas Wessels

We consider the control of semilinear stochastic partial differential equations (SPDEs) via deterministic controls. In the case of multiplicative noise, existence of optimal contro…