A library for mean-field games.
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Updated
Jun 4, 2025 - Python
A library for mean-field games.
Library for solving variational mean-field games using optimal transport and the Sinkhorn algorithm
Mean-field solution for cooperative search games -- diffusive agents with costs on control, time and collisions.
Code for "A MFG Model for the Dynamics of Cities" (Barilla, Carlier, Lasry 2021)
A framework for solving high-dimensional mean field games (MFG) with normalizing flows (NF) and regularizing NFs with MFG transport costs.
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.
Personal website of Leo D'Amato
code base for "Variational conditional normalizing flows for computing second-order mean field control problems"
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