Using Deep Reinforcement Learning for Designing Sub-Relativistic Electron Linac

Shin, Seung-wook; Chai, Jong-Seo; Ghergherehchi, Mitra

doi:10.18429/JACoW-IPAC2018-THPML032

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BiBTeX citation export for THPML032: Using Deep Reinforcement Learning for Designing Sub-Relativistic Electron Linac

@InProceedings{Shin:IPAC2018-THPML032,
  author       = {Shin, S.W. Shin and J.-S. Chai and M. Ghergherehchi},
  title        = {{U}sing {D}eep {R}einforcement {L}earning for {D}esigning {S}ub{-R}elativistic {E}lectron {L}inac},
  booktitle    = {Proc. 9th International Particle Accelerator Conference (IPAC'18),
                  Vancouver, BC, Canada, April 29-May 4, 2018},
  pages        = {4720--4722},
  paper        = {THPML032},
  language     = {english},
  keywords     = {network, electron, linac, cavity, acceleration},
  venue        = {Vancouver, BC, Canada},
  series       = {International Particle Accelerator Conference},
  number       = {9},
  publisher    = {JACoW Publishing},
  address      = {Geneva, Switzerland},
  month        = {June},
  year         = {2018},
  isbn         = {978-3-95450-184-7},
  doi          = {doi:10.18429/JACoW-IPAC2018-THPML032},
  url          = {http://jacow.org/ipac2018/papers/thpml032.pdf},
  note         = {https://doi.org/10.18429/JACoW-IPAC2018-THPML032},
}