Sparsifying Parametric Models with L0 Regularization

Fuente: arXiv
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Main Authors: Botteghi, Nicolò, Fasel, Urban
Format: Preprint
Published: 2024
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author Botteghi, Nicolò
Fasel, Urban
author_facet Botteghi, Nicolò
Fasel, Urban
contents This document contains an educational introduction to the problem of sparsifying parametric models with L0 regularization. We utilize this approach together with dictionary learning to learn sparse polynomial policies for deep reinforcement learning to control parametric partial differential equations. The code and a tutorial are provided here: https://github.com/nicob15/Sparsifying-Parametric-Models-with-L0.
format Preprint
id arxiv_https___arxiv_org_abs_2409_03489
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Sparsifying Parametric Models with L0 Regularization
Botteghi, Nicolò
Fasel, Urban
Machine Learning
This document contains an educational introduction to the problem of sparsifying parametric models with L0 regularization. We utilize this approach together with dictionary learning to learn sparse polynomial policies for deep reinforcement learning to control parametric partial differential equations. The code and a tutorial are provided here: https://github.com/nicob15/Sparsifying-Parametric-Models-with-L0.
title Sparsifying Parametric Models with L0 Regularization
topic Machine Learning
url https://arxiv.org/abs/2409.03489