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Rui Hu

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#machine learning Preprint Oct 2026

Towards Understanding the Training of GFlowNets: A Theoretical Perspective

Generative Flow Networks (GFlowNets) learn policies that sample discrete objects in proportion to a positive reward. They are trained by minimizing balance objectives, whose exact satisfaction guarantees correct sampling. However, a comprehensive theory linking nonzero balance loss and approximate stationarity to sampl...

Rui Hu, Yu Chen, Zhuo-Ran Li et al. · 0 citations

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