26 citations · 111 across the 20 of their papers we have counts for
3 papers · 1 filter
Generalized conditional gradient and learning in potential mean field games
J Frédéric Bonnans, Pierre Lavigne, Laurent Pfeiffer
We apply the generalized conditional gradient algorithm to potential mean field games and we show its well-posedeness. It turns out that this method can be interpreted as a learnin…
Discrete potential mean field games: duality and numerical resolution
J. Frédéric Bonnans, Pierre Lavigne, Laurent Pfeiffer
We propose and investigate a general class of discrete time and finite state space mean field game (MFG) problems with potential structure. Our model incorporates interactions thro…
A Lagrangian approach for aggregative mean field games of controls with mixed and final constraints
Joseph Frédéric Bonnans, Justina Gianatti, Laurent Pfeiffer
The objective of this paper is to analyze the existence of equilibria for a class of deterministic mean field games of controls. The interaction between players is due to both a co…