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Deep Learning for Reflected BSDEs: Regularization and Error Analysis

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05434v1 Announce Type: cross Abstract: Reflected backward stochastic differential equations (RBSDEs) provide a probabilistic formulation for obstacle constrained problems, but existing deep learning methods for their high dimensional solution remain limited. In this paper, we propose two…

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  1. 2026-09-09 04:00 · arXiv stat.ML
    Deep Learning for Reflected BSDEs: Regularization and Error Analysis

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