Gökçe Dayanikli

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Game Programming

Cooperative Game

Nash Equilibrium

Top Venues

Dyn. Games Appl.

Publications

Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
Learning Discrete-Time Major-Minor Mean Field Games. AAAI (2024)
Gökçe Dayanikli, Mathieu Laurière, Jiacheng Zhang
Deep Learning for Population-Dependent Controls in Mean Field Control Problems with Common Noise. AAMAS (2024)
Mohammad Dehghanimohammadabadai, Gökçe Dayanikli
Enhancing Pandemic Preparedness Using Mean Field and Simulation Modeling. WSC (2023)
Kai Cui, Gökçe Dayanikli, Mathieu Laurière, Matthieu Geist, Olivier Pietquin, Heinz Koeppl
Learning Discrete-Time Major-Minor Mean Field Games. CoRR (2023)
René A. Carmona, Gökçe Dayanikli, François Delarue, Mathieu Laurière
From Nash Equilibrium to Social Optimum and vice versa: a Mean Field Perspective. CoRR (2023)
Alexander Aurell, René Carmona, Gökçe Dayanikli, Mathieu Laurière
Finite State Graphon Games with Applications to Epidemics. Dyn. Games Appl. 12 (1) (2022)
René Carmona, Gökçe Dayanikli, Mathieu Laurière
Mean Field Models to Regulate Carbon Emissions in Electricity Production. Dyn. Games Appl. 12 (3) (2022)
Alexander Aurell, René Carmona, Gökçe Dayanikli, Mathieu Laurière
Optimal Incentives to Mitigate Epidemics: A Stackelberg Mean Field Game Approach. SIAM J. Control. Optim. 60 (2) (2022)
René Carmona, Gökçe Dayanikli
Mean Field Game Model for an Advertising Competition in a Duopoly. IGTR 23 (4) (2021)