MFGLib: A Library for Mean-Field Games

Python Submitted 04 January 2026Published 13 April 2026
Review

Editor: @Nikoleta-v3 (all papers)
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Authors

Xin Guo (0000-0002-3350-4606), Anran Hu (0000-0002-6781-0900), Matteo Santamaria (0009-0000-1406-2083), Mahan Tajrobehkar (0000-0002-0290-5255), Junzi Zhang (0000-0002-5086-0063)

Citation

Guo et al., (2026). MFGLib: A Library for Mean-Field Games. Journal of Open Source Software, 11(120), 10137, https://doi.org/10.21105/joss.10137

@article{Guo2026, doi = {10.21105/joss.10137}, url = {https://doi.org/10.21105/joss.10137}, year = {2026}, publisher = {The Open Journal}, volume = {11}, number = {120}, pages = {10137}, author = {Guo, Xin and Hu, Anran and Santamaria, Matteo and Tajrobehkar, Mahan and Zhang, Junzi}, title = {MFGLib: A Library for Mean-Field Games}, journal = {Journal of Open Source Software} }
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Tags

Mean-Field Games Nash Equilibrium Large Population Games Multi-Agent Systems

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ISSN 2475-9066