activity
20022026
most citedA probabilistic weak formulation of mean field games and applications

181 citations · 548 across the 46 of their papers we have counts for

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15 papers · 1 filter

math.OC2026

A Singular Control Problem for Data Center Electricity Cost Minimization

Rene Carmona, Xiaoyu Cui

The goal of the paper is to provide a complete analysis of a stochastic control problem when the cost to minimize involves the running maximum of the underlying controlled state pr…

math.OC2022

Synchronization in a Kuramoto Mean Field Game

Rene Carmona, Quentin Cormier, H. Mete Soner

The classical Kuramoto model is studied in the setting of an infinite horizon mean field game. The system is shown to exhibit both synchronization and phase transition. Incoherence…

math.OC2022

Mean Field Model for an Advertising Competition in a Duopoly

Rene Carmona, Gokce Dayanikli

In this study, we analyze an advertising competition in a duopoly. We consider two different notions of equilibrium. We model the companies in the duopoly as major players, and the…

math.OC2021★ 2 cited

Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance

René Carmona, Mathieu Laurière

Financial markets and more generally macro-economic models involve a large number of individuals interacting through variables such as prices resulting from the aggregate behavior…

math.OC2021

Finite State Graphon Games with Applications to Epidemics

Alexander Aurell, Rene Carmona, Gokce Dayanikli +1

We consider a game for a continuum of non-identical players evolving on a finite state space. Their heterogeneous interactions are represented by a graphon, which can be viewed as…

math.OC2021

Mean Field Models to Regulate Carbon Emissions in Electricity Production

Rene Carmona, Gokce Dayanikli, Mathieu Lauriere

The most serious threat to ecosystems is the global climate change fueled by the uncontrolled increase in carbon emissions. In this project, we use mean field control and mean fiel…