MFGLib: A Library for Mean-Field Games

The Journal of Open Source Software 2026 Open access

Read full text
Authors: Xin Guo, Anran Hu, Matteo Santamaria, Mahan Tajrobehkar, Junzi Zhang
DOI: 10.21105/joss.10137
Cited by: 0

Abstract

MFGLib is an open-source Python library dedicated to solving Nash equilibria (NEs) for generic mean-field games (MFGs) with a user-friendly and customizable interface, aiming at promoting both applications and research of MFGs. On one hand, it facilitates the creation and analysis of arbitrary user-defined MFG environments with minimal prior knowledge on MFGs. On the other hand, it serves as a modular and extensible code base for the community to easily prototype and implement new algorithms and environments of MFGs as well as their variants and generalizations.

Fields of Study & Subjects

Advanced Measurement and Metrology Techniques Scientific Measurement and Uncertainty Evaluation Semiconductor Lasers and Optical Devices

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
120
Pages
10137–10137
Publication date
13 April 2026
Language
EN