Publications:
"Incorporating Authority Perception, Economic Status, and Behavioral Response in Infectious Disease Control." H. Liu, J. Yang, S. L. Larsen, P. P. Martinez, G. Dayanıklı. (2026) Journal of the Royal Society Interface, to appear.
"From Nash Equilibrium to Social Optimum and Back: A Mean Field Perspective." R. Carmona, G. Dayanıklı, F. Delarue, M. Laurière. (2026) Applied Mathematics & Optimization.
"Epidemic Control using Stackelberg Mean Field Games with Budget Constraints." H. Liu, G. Dayanıklı. (2026, to appear in Proceedings of the IEEE Conference on Decision and Control).
"Inverse Learning of the Altruism and Cost Level in Mixed-Individual Mean Field Games." H. Cao, G. Dayanıklı, X. Shi. (2026, to appear in Proceedings of the IEEE Conference on Decision and Control).
"Finite-State Mixed-Individual Mean Field Games with an Application to Epidemic Modeling." C. Jia, G. Dayanıklı. (2026) IEEE Control Systems Letters.
"Regulation of Rumor Propagation via (Multi-Leader) Stackelberg Graphon Games." H. Liu, G. Dayanıklı. (2026) In Proceedings of the American Control Conference (ACC).
"Modeling Global Financial Stability Through Policy Design: A Hierarchical Stackelberg Mean Field Game Perspective." P. Rathod, G. Dayanıklı. (2026) In Proceedings of the American Control Conference (ACC).
"A machine learning method for Stackelberg mean field games." G. Dayanıklı, M. Laurière. (2025) Mathematics of Operations Research. [arXiv]
"A Game-Theoretic Framework for Network Formation in Large Populations." G. Dayanıklı, M. Laurière. (2025) In Proceedings of the IEEE Conference on Decision and Control (CDC).
"Modeling of Rumor Propagation in Large Populations with Network via Graphon Games." H. Liu, G. Dayanıklı. (2025) In Proceedings of the American Control Conference (ACC). [arXiv]
"A Stackelberg Mean Field Game for Green Regulator with a Large Number of Prosumers." M. Bichuch, G. Dayanıklı, M. Laurière. (2025) In Proceedings of the American Control Conference (ACC).
"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 the 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 the AAAI Conference on Artificial Intelligence. [arXiv]
"Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise." 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 the American Control Conference (ACC). [arXiv]
"Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling." M. Dehghanimohammadabadai, G. Dayanıklı. (2023) In Proceedings of the Winter Simulation Conference (WSC).
"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]
Preprints:
"Modeling Epidemic Spread with Strategic Vaccination and Socialization: A Mean Field Game Analysis." H. Liu, G. Dayanıklı. (2026, preprint). [arXiv]
"Cooperation, Competition, and Common Pool Resources in Mean Field Games." G. Dayanıklı, M. Laurière. (2025, preprint). [arXiv]
"Learning Fair Policies for Stochastic Optimal Control Using Path Integral Approach: Applications to Epidemic Control." H. Park, Z. Jia, G. Dayanıklı, G.A. Hanasusanto. (2025, preprint). [arXiv]
"Neural Parameter Calibration for Finite-State Mean Field Games." A. C. M. Thöni, G. Lambrecht, G. Dayanıklı, Y. Efroni, T. Kachman, M. Laurière. (2026, preprint). [arXiv]
"Extended Graphon Mean-Field Games in Discrete Time." H. Amini, Z. Cao, G. Dayanıklı, M. Laurière, K. Shao, A. Sulem. (2026, preprint). [arXiv]