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Gökçe Dayanıklı

Assistant Professor

Education

Operations Research & Financial Engineering, PhD, Princeton University

Additional Campus Affiliations

Assistant Professor, Statistics
Assistant Professor, Industrial and Enterprise Systems Engineering
Affiliate, Carl R. Woese Institute for Genomic Biology

Recent Publications

Cui, K., Dayanıklı, G., Laurière, M., Geist, M., Pietquin, O., & Koeppl, H. (2024). Learning Discrete-Time Major-Minor Mean Field Games. In M. Wooldridge, J. Dy, & S. Natarajan (Eds.), Technical Tracks 14 (9 ed., pp. 9616-9625). (Proceedings of the AAAI Conference on Artificial Intelligence; Vol. 38, No. 9). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v38i9.28818

Dayanikli, G., & Lauriere, M. (2024). Multi-population Mean Field Games with Multiple Major Players: Application to Carbon Emission Regulations. In 2024 American Control Conference, ACC 2024 (pp. 5075-5081). (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC60939.2024.10644211

Dayanıklı, G., Laurière, M., & Zhang, J. (2024). Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 2024-May, 2231-2233.

Dayanıklı, G., & Laurière, M. (2024). Machine Learning Methods for Large Population Games with Applications in Operations Research. In V. Babich, P. Dewan, & J. Pender (Eds.), Tutorials in Operations Research: Smarter Decisions for a Better World (pp. 50-89). INFORMS Institute for Operations Research and the Management Sciences. https://doi.org/10.1287/educ.2024.0272

Dehghanimohammadabadai, M., & Dayanikli, G. (2023). Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling. In 2023 Winter Simulation Conference, WSC 2023 (pp. 970-981). (Proceedings - Winter Simulation Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC60868.2023.10408053

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