3 citations · 6 across the 5 of their papers we have counts for
5 papers
Learning optimal policies in potential Mean Field Games: Smoothed Policy Iteration algorithms
Qing Tang, Jiahao Song
We introduce two Smoothed Policy Iteration algorithms (\textbf{SPI}s) as rules for learning policies and methods for computing Nash equilibria in second order potential Mean Field…
Policy iteration method for time-dependent Mean Field Games systems with non-separable Hamiltonians
Mathieu Laurière, Jiahao Song, Qing Tang
We introduce two algorithms based on a policy iteration method to numerically solve time-dependent Mean Field Game systems of partial differential equations with non-separable Hami…
Rates of convergence for the policy iteration method for Mean Field Games systems
Fabio Camilli, Qing Tang
Convergence of the policy iteration method for discrete and continuous optimal control problems holds under general assumptions. Moreover, in some circumstances, it is also possibl…
Approximation of an optimal control problem for the time-fractional Fokker-Planck equation
Fabio Camilli, Serikbolsyn Duisembay, Qing Tang
In this paper, we study the numerical approximation of a system of PDEs with fractional time derivatives. This system is derived from an optimal control problem for a time-fraction…
Variational time-fractional Mean Field Games
Tang Qing, Fabio Camilli
We consider the variational structure of a time-fractional second order Mean Field Games (MFG) system with local coupling. The MFG system consists of time-fractional Fokker-Planck…