most citedDeep Learning for Mean Field Games with non-separable Hamiltonians

4 citations · 5 across the 2 of their papers we have counts for

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math.OC2025

Initialization-driven neural generation and training for high-dimensional optimal control and first-order mean field games

Mouhcine Assouli, Justina Gianatti, Badr Missaoui +1

This paper first introduces a method to approximate the value function of high-dimensional optimal control by neural networks. Based on the established relationship between Pontrya…

math.OC2023★ 1 cited

Deep Policy Iteration for High-Dimensional Mean Field Games

Mouhcine Assouli, Badr Missaoui

This paper introduces Deep Policy Iteration (DPI), a novel approach that integrates the strengths of Neural Networks with the stability and convergence advantages of Policy Iterati…