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20202024
most citedNeural Network Approximation of Optimal Controls for Stochastic Reaction-Diffusion Equations

3 citations · 3 across the 5 of their papers we have counts for

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5 papers

math.PR2024

The Lions Derivative in Infinite Dimensions -- Application to Higher Order Expansion of Mean-Field SPDEs

Alexander Vogler, Wilhelm Stannat

In this paper we present a new interpretation of the Lions derivative as the Radon-Nikodym derivative of a vector measure, which provides a canonical extension of the Lions derivat…

math.OC2023

Approximation of Optimal Feedback Controls for Stochastic Reaction-Diffusion Equations

Wilhelm Stannat, Alexander Vogler

In this paper we present a method to approximate optimal feedback controls for stochastic reaction-diffusion equations. We derive two approximation results providing the theoretica…

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.PR2022

An application of the multiplicative Sewing Lemma to the high order weak approximation of stochastic differential equations

Antoine Hocquet, Alexander Vogler

We introduce a variant of the multiplicative Sewing Lemma in [Gerasimovičs, Hocquet, Nilssen; J. Funct. Anal. 281 (2021)] which yields arbitrary high order weak approximations to s…

math.PR2020

Optimal control of mean field equations with monotone coefficients and applications in neuroscience

Antoine Hocquet, Alexander Vogler

We are interested in the optimal control problem associated with certain quadratic cost functionals depending on the solution of the stochastic mean-field type evolution eq…