Entropy-regularized penalization schemes and reflected BSDEs with singular generators

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Chee, Daniel, Frikha, Noufel, Li, Libo
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866908861059825664
author Chee, Daniel
Frikha, Noufel
Li, Libo
author_facet Chee, Daniel
Frikha, Noufel
Li, Libo
contents This paper extends our previous work to continuous-time optimal stopping, focusing on American options in an exploratory setting. Our first contribution is an entropy-regularized penalization scheme, inspired by classical penalization techniques for reflected BSDEs. It yields a smooth approximation of the stopping rule, promotes exploration, and enables gradient-based learning methods. We prove well-posedness, convergence, and illustrate numerical performance in low-dimensional examples. Our second contribution analyzes the behaviour of the scheme as the penalization parameter grows, showing that the limit solves a reflected BSDE with a logarithmically singular generator, for which we establish existence and uniqueness via a monotone limit argument.
format Preprint
id arxiv_https___arxiv_org_abs_2602_18078
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Entropy-regularized penalization schemes and reflected BSDEs with singular generators
Chee, Daniel
Frikha, Noufel
Li, Libo
Mathematical Finance
91G20, 60G40, 35R35
This paper extends our previous work to continuous-time optimal stopping, focusing on American options in an exploratory setting. Our first contribution is an entropy-regularized penalization scheme, inspired by classical penalization techniques for reflected BSDEs. It yields a smooth approximation of the stopping rule, promotes exploration, and enables gradient-based learning methods. We prove well-posedness, convergence, and illustrate numerical performance in low-dimensional examples. Our second contribution analyzes the behaviour of the scheme as the penalization parameter grows, showing that the limit solves a reflected BSDE with a logarithmically singular generator, for which we establish existence and uniqueness via a monotone limit argument.
title Entropy-regularized penalization schemes and reflected BSDEs with singular generators
topic Mathematical Finance
91G20, 60G40, 35R35
url https://arxiv.org/abs/2602.18078