A library for mean-field games.
-
Updated
Mar 5, 2026 - Python
A library for mean-field games.
A framework for solving high-dimensional mean field games (MFG) with normalizing flows (NF) and regularizing NFs with MFG transport costs.
Mean-field solution for cooperative search games -- diffusive agents with costs on control, time and collisions.
Library for solving variational mean-field games using optimal transport and the Sinkhorn algorithm
Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)
Implementation of Offline Munchausen Mirror Descent.
We use Deep Galerking Method (DGM) to solve the Non-Linear Schrödinger Formulation (NLSF) of a Mean-Field Game describing the passage of a cylindrical intruder through a dense crowd.
code base for "Variational conditional normalizing flows for computing second-order mean field control problems"
Personal website of Leo D'Amato
An unsupervised framework for learning high dimensional mean-field game solution operators
A price-optimization solver for a mean-field games price formation model
Add a description, image, and links to the mean-field-games topic page so that developers can more easily learn about it.
To associate your repository with the mean-field-games topic, visit your repo's landing page and select "manage topics."