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Cited article:

Recent developments in machine learning methods for stochastic control and games

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Numerical Algebra, Control and Optimization (2024)

Convergence analysis of machine learning algorithms for the numerical solution of mean field control and games: II—the finite horizon case

René Carmona and Mathieu Laurière
The Annals of Applied Probability 32 (6) (2022)

Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Numerical Applications

Achref Bachouch, Côme Huré, Nicolas Langrené and Huyên Pham
Methodology and Computing in Applied Probability 24 (1) 143 (2022)

McKean–Vlasov Optimal Control: Limit Theory and Equivalence Between Different Formulations

Mao Fabrice Djete, Dylan Possamaï and Xiaolu Tan
Mathematics of Operations Research 47 (4) 2891 (2022)

Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games I: The Ergodic Case

René Carmona and Mathieu Laurière
SIAM Journal on Numerical Analysis 59 (3) 1455 (2021)