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.

翻译：本文对基于L0正则化的参数模型稀疏化问题进行了教学性介绍。我们将该方法与字典学习相结合，为深度强化学习训练稀疏多项式策略，以控制参数化偏微分方程。相关代码与教程已发布于：https://github.com/nicob15/Sparsifying-Parametric-Models-with-L0。