A learning-based approach to stochastic optimal control under reach-avoid constraint

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Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard. Even though such problems are ubiquitous in statistics, ...

A learning-based approach to stochastic optimal control under reach-avoid constraint

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