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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16 papers · 1 filter

math.PR2021

Stochastic Graphon Games: II. The Linear-Quadratic Case

Alexander Aurell, Rene Carmona, Mathieu Lauriere

In this paper, we analyze linear-quadratic stochastic differential games with a continuum of players interacting through graphon aggregates, each state being subject to idiosyncrat…

math.PR2018★ 7 cited

Finite-State Contract Theory with a Principal and a Field of Agents

Rene Carmona, Peiqi Wang

We use the recently developed probabilistic analysis of mean field games with finitely many states in the weak formulation, to set-up a principal / agent contract theory model wher…

math.PR2018★ 6 cited

A Probabilistic Approach to Extended Finite State Mean Field Games

Rene Carmona, Peiqi Wang

We develop a probabilistic approach to continuous-time finite state mean field games. Based on an alternative description of continuous-time Markov chain by means of semimartingale…

math.PR2018★ 3 cited

Numerical Probabilistic Approach to MFG

Andrea Angiuli, Christy V. Graves, Houzhi Li +3

This project investigates numerical methods for solving fully coupled forward-backward stochastic differential equations (FBSDEs) of McKean-Vlasov type. Having numerical solvers fo…

math.PR2016★ 11 cited

Finite State Mean Field Games with Major and Minor Players

Rene Carmona, Peiqi Wang

The goal of the paper is to develop the theory of finite state mean field games with major and minor players when the state space of the game is finite. We introduce the finite pla…

math.PR2016★ 1 cited

An Alternative Approach to Mean Field Game with Major and Minor Players, and Applications to Herders Impacts

Rene Carmona, Peiqi Wang

The goal of the paper is to introduce a formulation of the mean field game with major and minor players as a fixed point on a space of controls. This approach emphasizes naturally…