On the grid-sampling limit SDE

Fuente: arXiv
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Main Authors: Bender, Christian, Thuan, Nguyen Tran
Format: Preprint
Published: 2024
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_version_ 1866913540148822016
author Bender, Christian
Thuan, Nguyen Tran
author_facet Bender, Christian
Thuan, Nguyen Tran
contents In our recent work [3] we introduced the grid-sampling SDE as a proxy for modeling exploration in continuous-time reinforcement learning. In this note, we provide further motivation for the use of this SDE and discuss its wellposedness in the presence of jumps.
format Preprint
id arxiv_https___arxiv_org_abs_2410_07778
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the grid-sampling limit SDE
Bender, Christian
Thuan, Nguyen Tran
Machine Learning
Probability
Primary: 60H10, Secondary: 60G57, 93E35
In our recent work [3] we introduced the grid-sampling SDE as a proxy for modeling exploration in continuous-time reinforcement learning. In this note, we provide further motivation for the use of this SDE and discuss its wellposedness in the presence of jumps.
title On the grid-sampling limit SDE
topic Machine Learning
Probability
Primary: 60H10, Secondary: 60G57, 93E35
url https://arxiv.org/abs/2410.07778