52 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Électricité de France (France)FR7 papers
- Instituto Nacional de Matemática Pura e AplicadaBR3 papers
- Centre de Recherche en Mathématiques de la DécisionFR2 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR2 papers
- Université Paris Dauphine-PSLFR2 papers
- Berkeley CollegeUS1 paper
- CentraleSupélecFR1 paper
- Centre de Mathématiques Appliquées de l'École polytechniqueFR1 paper
- Centre de Recherche en Économie et StatistiqueFR1 paper
- Centre Inria de SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commonwealth Scientific and Industrial Research OrganisationAU1 paper
5 papers · 1 filter
Mean-field neural networks-based algorithms for McKean-Vlasov control problems *
Huyên Pham, Xavier Warin
This paper is devoted to the numerical resolution of McKean-Vlasov control problems via the class of mean-field neural networks introduced in our companion paper [25] in order to l…
A level-set approach to the control of state-constrained McKean-Vlasov equations: application to renewable energy storage and portfolio selection
Maximilien Germain, Huyên Pham, Xavier Warin
We consider the control of McKean-Vlasov dynamics (or mean-field control) with probabilistic state constraints. We rely on a level-set approach which provides a representation of t…
DeepSets and their derivative networks for solving symmetric PDEs
Maximilien Germain, Mathieu Laurière, Huyên Pham +1
Machine learning methods for solving nonlinear partial differential equations (PDEs) are hot topical issues, and different algorithms proposed in the literature show efficient nume…
Decomposition of convex high dimensional aggregative stochasticcontrol problems
Adrien Séguret, Clémence Alasseur, J. Frédéric Bonnans +3
We consider the framework of convex high dimensional stochastic control problems, in which the controls are aggregated in the cost function. As first contribution, we introduce a m…
Some non monotone schemes for time dependent Hamilton-Jacobi-Bellman equations in stochastic control
Xavier Warin
We introduce some approximation schemes for linear and fully non-linear diffusion equations of Bellman-Isaacs type. Although they are not monotone one can prove their convergence t…