Sparsifying Parametric Models with L0 Regularization
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 11 of its 16 references that are in the map. First posted on arXiv 5 Sep 2024.
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11 of 16 references.
References · 11
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- 2024Parametric PDE Control with Deep Reinforcement Learning and Differentiable L0-Sparse Polynomial Policiescited by 7
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