We propose a single-level numerical approach to solve Stackelberg mean field game (MFG)
problems. In the Stackelberg MFG, an infinite population of agents plays a noncooperative …

In this paper, we propose and study a mean field game model with multiple populations of
minor players and multiple major players, motivated by applications to the regulation of …

Recent techniques based on Mean Field Games (MFGs) allow the scalable analysis of multi-
player games with many similar, rational agents. However, standard MFGs remain limited to …

In this paper, we propose a single-level numerical approach that uses machine learning
techniques to solve bi-level Stackelberg problems between a principal and a mean field of …

Dynamic Stackelberg games are a broad class of two-player games in which the leader acts
first, and the follower chooses a response strategy to the leader's strategy. Unfortunately …

In this tutorial, we provide an introduction to machine learning methods for finding Nash
equilibria in games with a large number of agents. These types of problems are important for …

In a regular mean field game (MFG), the agents are assumed to be insignificant, they do not
realize their effect on the population level and this may result in a phenomenon coined as …

Mean field games equations are examined for conservation laws. The system of mean field
games equations consists of two partial differential equations: the Hamilton-Jacobi-Bellman …

We model a Stackelberg game in a power market with rational consumers and a benevolent
regulator as a meanfield game. The Stackelberg leader, who is a government regulator, sets …

We first study the extensions of mean field game and control models with heterogenous
players (ie, major players) with applications to socioeconomic problems. Later, in order to …