Preprints:
"From Nash equilibrium to social optimum and vice versa: a mean field perspective." R. Carmona, G. Dayanıklı, F. Delarue, M. Laurière. (2023, preprint). [arXiv]
“Cooperation, Competition, and Common Pool Resources in Mean Field Games." G. Dayanıklı, M. Laurière. (2025, preprint). [arXiv]
Analysis of Epidemic Mitigation Policies for Different Socioeconomic Groups via Multi-Population Mean Field Games." G. Dayanıklı, P. Martinez. (2025, preprint).
Regulation of Rumor Propagation via Multi-Leader Stackelberg Graphon Games." H. Liu , G. Dayanıklı. (2025, preprint).
Learning Fair Policies for Infectious Diseases Mitigation using Path Integral Control." Z. Jia, H. Park, G. Dayanıklı, G.A. Hanasusanto. (2025, preprint). [arXiv]
Publications:
"A machine learning method for Stackelberg mean field games." G. Dayanıklı, M. Laurière. (2024) Mathematics of Operations Research. [arXiv]
"Modeling of Rumor Propagation in Large Populations with Network via Graphon Games." H. Liu, G. Dayanıklı. (2024, accepted at American Control Conference). [arXiv]
"A Stackelberg Mean Field Game for Green Regulator with a Large Number of Prosumers." M. Bichuch, G. Dayanıklı, M. Laurière. (2024, accepted at American Control Conference).
"Machine learning methods for large population games with applications in operations research." G. Dayanıklı, M. Laurière. (2024) INFORMS Tutorials in Operations Research. [arXiv]
"How can the tragedy of the commons be prevented?: Introducing Linear Quadratic Mixed Mean Field Games." G. Dayanıklı, M. Laurière. (2024) In Proceedings of IEEE Conference on Decision and Control (CDC). [arXiv]
"Learning discrete-time major-minor mean field games." K. Cui, G. Dayanıklı, M. Laurière, M. Geist, O. Pietquin, H. Koeppl. (2024) In Proceedings of AAAI Conference on Artificial Intelligence. [arXiv]
"Deep learning for population-dependent controls in mean field control problems." G. Dayanıklı, M. Laurière, J. Zhang. (2024) In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS '24, extended abstract). [arXiv]
"Multi-population mean field games with multiple major players: Application to carbon emission regulations." G. Dayanıklı, M. Laurière. (2024) In Proceedings of 2024 American Control Conference (ACC). [arXiv]
"Finite state graphon games with applications to epidemics." A. Aurell, R. Carmona, G. Dayanıklı, M. Laurière. (2022) Dynamic Games and Applications. [arXiv]
"Optimal incentives to mitigate epidemics: A Stackelberg mean field game approach." A. Aurell, R. Carmona, G. Dayanıklı, M. Laurière. (2022) SIAM Journal on Control and Optimization. [arXiv]
"Mean field models to regulate carbon emissions in electricity production." R. Carmona, G. Dayanıklı, M. Laurière. (2022) Dynamic Games and Applications. [arXiv]
"Mean field game model for an advertising competition in a duopoly." R. Carmona, G. Dayanıklı. (2021) International Game Theory Review. [arXiv]