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Gökçe Dayanıklı
Title
Cited by
Cited by
Year
Optimal incentives to mitigate epidemics: a Stackelberg mean field game approach
A Aurell, R Carmona, G Dayanikli, M Lauriere
SIAM Journal on Control and Optimization 60 (2), S294-S322, 2022
612022
Finite state graphon games with applications to epidemics
A Aurell, R Carmona, G Dayanıklı, M Laurière
Dynamic Games and Applications 12 (1), 49-81, 2022
292022
Mean field models to regulate carbon emissions in electricity production
R Carmona, G Dayanıklı, M Laurière
Dynamic Games and Applications 12 (3), 897-928, 2022
222022
Mean field game model for an advertising competition in a duopoly
R Carmona, G Dayanıklı
International Game Theory Review 23 (04), 2150024, 2021
62021
A machine learning method for Stackelberg mean field games
G Dayanikli, M Lauriere
arXiv preprint arXiv:2302.10440, 2023
32023
Effect of GDP Per Capita on National Life Expectancy
G Dayanikli, V Gokare, B Kincaid
Georgia Institute of Technology, 2016
32016
Deep learning for population-dependent controls in mean field control problems
G Dayanikli, M Lauriere, J Zhang
arXiv preprint arXiv:2306.04788, 2023
22023
Learning Discrete-Time Major-Minor Mean Field Games
K Cui, G Dayanıklı, M Laurière, M Geist, O Pietquin, H Koeppl
Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 9616-9625, 2024
2024
From Nash Equilibrium to Social Optimum and vice versa: a Mean Field Perspective
R Carmona, G Dayanikli, F Delarue, M Lauriere
arXiv preprint arXiv:2312.10526, 2023
2023
Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling
M Dehghanimohammadabadai, G Dayanıklı
2023 Winter Simulation Conference (WSC), 970-981, 2023
2023
Multi-population Mean Field Games with Multiple Major Players: Application to Carbon Emission Regulations
G Dayanikli, M Lauriere
arXiv preprint arXiv:2309.16477, 2023
2023
Mean Field Models with Heterogeneous Agents: Extensions and Learning
G Dayanıklı
Princeton University, 2022
2022
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