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A method based on deep artificial neural networks and empirical risk minimization is developed to calculate the boundary separating the stopping and continuation regions in optimal stopping.
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Solving high-dimensional optimal stopping problems using deep learning
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Deep Neural Networks Algorithms for Stochastic Control Problems on Finite Horizon: Numerical Applications
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