Presentation 2023-11-11
An Application of Deep Reinforcement Learning to Link Selection in Optical Satellite Communication Networks
Keigo Makizoe, Maki Arai, Koji Oshima, Kenji Suzuki, Mikio Hasegawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # CCS2023-32
Date of Issue 2023-11-04 (CCS)

Conference Information
Committee CCS
Conference Date 2023/11/11(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Toyama Prefectural University
Topics (in Japanese) (See Japanese page)
Topics (in English) CCS, etc.
Chair Masaki Aida(TMU)
Vice Chair Hidehiro Nakano(Tokyo City Univ.) / Atsushi Uchida(Saitama Univ.)
Secretary Hidehiro Nakano(Shibaura Inst. of Tech.) / Atsushi Uchida(Shonan Inst. of Tech.)
Assistant Hiroyuki Yasuda(Univ. of Tokyo) / Miki Kobayashi(Rissho Univ.) / Kazutaka Kanno(Saitama Univ.) / Naoya Fujiwara(Tohoku Univ.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Application of Deep Reinforcement Learning to Link Selection in Optical Satellite Communication Networks
Sub Title (in English)
Keyword(1)
1st Author's Name Keigo Makizoe
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Maki Arai
2nd Author's Affiliation Tokyo University of Science(TUS)
3rd Author's Name Koji Oshima
3rd Author's Affiliation National Institute of Information and Communications Technology(NICT)
4th Author's Name Kenji Suzuki
4th Author's Affiliation National Institute of Information and Communications Technology(NICT)
5th Author's Name Mikio Hasegawa
5th Author's Affiliation Tokyo University of Science(TUS)
Date 2023-11-11
Paper # CCS2023-32
Volume (vol) vol.123
Number (no) CCS-253
Page pp.pp.43-46(CCS),
#Pages 4
Date of Issue 2023-11-04 (CCS)