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20202026
most citedDecomposition of convex high dimensional aggregative stochasticcontrol problems

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2026

Non-Potential Congestion Games with a Continuum of Players

Alix Dupont, Quentin Petit, Adrien Séguret

We study a class of congestion games with a continuum of heterogeneous players and a finite set of resources, without assuming the existence of a potential function. Players differ…

math.OC2026

Two-stage stochastic algorithm for solving large-scale (non)-convex separable optimization problems under affine constraints

Benjamin Dubois-Taine, Laurent Pfeiffer, Nadia Oudjane +2

We consider nonsmooth optimization problems under affine constraints, where the objective consists of the average of the component functions of a large number of agents, and we…

math.OC2025

Mean Field Control of Thermostatically Controlled Loads as Piecewise Deterministic Markov Processes

Thomas Le Corre, Adrien Séguret, Ana Bušić

This paper presents a mean-field control approach for Piecewise Deterministic Markov Processes (PDMPs), specifically designed for controlling a large number of agents. By modeling…

math.OC2021

Computation and implementation of an optimal mean field control for smart charging

Adrien Seguret, Cheng Wan, Clémence Alasseur

This paper addresses an optimal control problem for a large population of identical plug-in electric vehicles (PEVs). The number of PEVs being large, the mean field assumption is f…

math.AP2021

An optimal control problem for the continuity equation arising in smart charging

Adrien Seguret

This paper is focused on the mathematical modeling and solution of the optimal charging of a large population of identical plug-in electric vehicles (PEVs) with mixed state variabl…

math.OC2020★ 2 cited

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…