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Workingpapers
Recent developments in machine learning methods for stochastic control and games
Deep Learning for Mean Field Optimal Transport
A Machine Learning Method for Stackelberg Mean Field Games
Learning Correlated Equilibria in Mean-Field Games
Learning mean field games: A survey
Machine Learning architectures for price formation models
Generalization in Mean Field Games by Learning Master Policies
Performance of a Markovian neural network versus dynamic programming on a fishing control problem
Concave Utility Reinforcement Learning: the Mean-field Game viewpoint
Deep Learning for Mean Field Games and Mean Field Control with Applications to Finance
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