• Technical Conference: 

    09 – 14 May 2021

  • Exhibition: 

    10 – 14 May 2021

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Poster

Improved Machine Learning Algorithms for Optimizing Coherent Pulse Stacking Amplification (JTh3A.1)

Presenter: Weizhi Du, University of Michigan

We apply momentum stochastic parallel gradient descent (MSPGD) and policy gradient algorithms to optimize coherent pulse stacking (CPS), and demonstrate their increased effectiveness compared to traditionally used stochastic parallel gradient descent (SPGD) algorithm.

Authors:Weizhi Du, University of Michigan / Eunjeong Hyeon, University of Michigan / Zhengyu Huang, University of Michigan / Yeonjoon Cheong, University of Michigan / Siyuan Zheng, University of Michigan / Hanzhang Pei, University of Michigan / Almantas Galvanauskas, University of Michigan


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