Papers › Sparsifying Parametric Models with L0 Regularization

Sparsifying Parametric Models with L0 Regularization

5 Sep 2024arXiv:2409.03489archive 2025-07-28

Nicolò Botteghi, Urban Fasel

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.

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nicob15/sparsifying-parametric-models-with-l0 officialmentioned in papermentioned on GitHubpytorch report

nicob15/parametric-pde-control-with-drl-and-differentiable-l0-sparse-polynomial-policies mentioned on GitHubpytorch report

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Deep Reinforcement Learning Dictionary Learning Reinforcement Learning reinforcement-learning

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