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Martingale deep neural network for very high-dimensional stochastic optimal controls
We propose a martingale deep learning method for very high-dimensional stochastic optimal control problems (SOCPs) via their associated Hamilton--Jacobi--Bellman equations and the verification theory for the optimal control. The method decomposes the problem into two coupled components: a martingale
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