Presentation 2020-04-16
An Automatic Early Restoration Planning of Telecommunication Service after Large Scale Disaster Based on Deep Reinforcement Learning
Wang Zhao, Yuusuke Nakano, Ken Nishimatsu,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # NS2020-3
Date of Issue 2020-04-09 (NS)

Conference Information
Committee NS
Conference Date 2020/4/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) KAIKYO MESSE SHIMONOSEKI
Topics (in Japanese) (See Japanese page)
Topics (in English) Traffic, Network evaluation, Performance, Resource control and management, Traffic engineering, Network reliability and resilience, Network Intelligence and AI, etc.
Chair Yoshikatsu Okazaki(NTT)
Vice Chair Akihiro Nakao(Univ. of Tokyo)
Secretary Akihiro Nakao(Osaka Pref Univ.)
Assistant Shinya Kawano(NTT)

Paper Information
Registration To Technical Committee on Network Systems
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Automatic Early Restoration Planning of Telecommunication Service after Large Scale Disaster Based on Deep Reinforcement Learning
Sub Title (in English)
Keyword(1)
1st Author's Name Wang Zhao
1st Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
2nd Author's Name Yuusuke Nakano
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
3rd Author's Name Ken Nishimatsu
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
Date 2020-04-16
Paper # NS2020-3
Volume (vol) vol.120
Number (no) NS-4
Page pp.pp.13-17(NS),
#Pages 5
Date of Issue 2020-04-09 (NS)