Your Location：

Home >

Browse articles >

Application of the asynchronous advantage actor-critic machine learning algorithm to real-time accelerator tuning

SYNCHROTRON RADIATION TECHNOLOGY AND APPLICATIONS | Updated：2021-02-01

- Application of the asynchronous advantage actor-critic machine learning algorithm to real-time accelerator tuning Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.30, Issue 10, (2019)
- Affiliations：
  
  Key Laboratory of Particle & Radiation Imaging (Tsinghua University), Ministry of Education,Beijing,China,100084;Laboratory for Advanced Radiation Sources and Application, Tsinghua University,Beijing,China,100084;Department of Engineering Physics, Tsinghua University,Beijing,China,100084;State Key Laboratory of Intense Pulsed Radiation Simulation and Effect (Northwest Institute of Nuclear Technology),Xian,China,710000
- Author bio：
- Funds：
- DOI：10.1007/s41365-019-0668-1 CLC：
- Published：01 October 2019，
  
  Published Online：03 October 2019，
  
  Received：23 March 2019，
  
  Revised：27 April 2019，
  
  Accepted：26 May 2019
Scan the full text
Cite this article
Yun Zou, Qing-Zi Xing, Bai-Chuan Wang, et al. Application of the asynchronous advantage actor-critic machine learning algorithm to real-time accelerator tuning. [J]. Nuclear Science and Techniques 30(10):158(2019)
DOI：

Yun Zou, Qing-Zi Xing, Bai-Chuan Wang, et al. Application of the asynchronous advantage actor-critic machine learning algorithm to real-time accelerator tuning. [J]. Nuclear Science and Techniques 30(10):158(2019) DOI： 10.1007/s41365-019-0668-1.

Views

Downloads

Cited

Alert me when the article has been cited

Submit

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰

Application of the asynchronous advantage actor-critic machine learning algorithm to real-time accelerator tuning Cover Article Enhanced Publication