Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs

🚀 Description

This repository contains the source-code of the methods and simulations in

L. Pedroso, A. Agazzi, W.P.M.H. Heemels and M. Salazar, Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs, 2026 European Control Conference (ECC), 2026. doi:10.48550/arXiv.2511.07655 (accepted for presentation)

📰 Citing

If you use this repository, please reference the publication below.

L. Pedroso, A. Agazzi, W.P.M.H. Heemels and M. Salazar, Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs, 2026 European Control Conference (ECC), 2026. doi:10.48550/arXiv.2511.07655 (accepted for presentation)

@inproceedings{PedrosoAgazziEtAl2026MFGDisc,
	author = {L. Pedroso and A. Agazzi and W. P. M. H. Heemels and M. Salazar},
	title = {Evolutionary Analysis of Continuous-time Finite-state Mean Field Games with Discounted Payoffs},
	booktitle = {2026 European Control Conference (ECC)},
    note = {arXiv preprint arXiv:2511.07655 (accepted for presentation)},
	year = {2026},
	doi = {10.48550/arXiv.2511.07655}
}

✍🏼 Authors

Leonardo Pedroso¹
Andrea Agazzi²
W.P.M.H. (Maurice) Heemels¹
Mauro Salazar¹

_{¹Control Systems Technology section, Eindhoven University of Technology, The Netherlands
²Department of Mathematics and Statistics, University of Bern, Switzerland}