线.

Jan Kaiser1, Chenran Xu2, Annika Eichler3,4

  • 1Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany. jan.kaiser@desy.de.

Scientific reports
|July 8, 2024
PubMed
概括

本研究将贝叶斯优化 (BO) 和强化学习 (RL) 进行比较,用于自主粒子加速器调整. 结果帮助从业人员选择最佳的基于学习的算法,以提高加速器的性能和可用性.

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