| 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 | 69 | 2022 |
| Finite state graphon games with applications to epidemics A Aurell, R Carmona, G Dayanıklı, M Lauriere Dynamic Games and Applications 12 (1), 49-81, 2022 | 35 | 2022 |
| 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 | 23 | 2022 |
| Mean field game model for an advertising competition in a duopoly R Carmona, G Dayanıklı International Game Theory Review 23 (04), 2150024, 2021 | 7 | 2021 |
| A machine learning method for Stackelberg mean field games G Dayanikli, M Lauriere arXiv preprint arXiv:2302.10440, 2023 | 5 | 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 | 4 | 2023 |
| Effect of GDP Per Capita on National Life Expectancy G Dayanikli, V Gokare, B Kincaid Georgia Institute of Technology, 2016 | 4 | 2016 |
| Deep learning for population-dependent controls in mean field control problems G Dayanikli, M Lauriere, J Zhang arXiv preprint arXiv:2306.04788, 2023 | 3 | 2023 |
| 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 | 1 | 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 | 1 | 2023 |
| Machine Learning Methods for Large Population Games with Applications in Operations Research G Dayanikli, M Lauriere arXiv preprint arXiv:2406.10441, 2024 | | 2024 |
| Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling M Dehghanimohammadabadai, G Dayanıklı 2023 Winter Simulation Conference (WSC), 970-981, 2023 | | 2023 |
| Mean Field Models with Heterogeneous Agents: Extensions and Learning G Dayanıklı Princeton University, 2022 | | 2022 |
Mathieu LaurièreAssistant professor of Mathematics and Data Science, NYU Shanghai在 nyu.edu 的电子邮件经过验证
