Presentation 2018-10-30
[Invited Talk] Deep Reinforcement Learning Applications in Telecommunications
Cheng Zhang,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, the definition of deep reinforcement learning, and its difference with deep learning are introduced firstly, then the deep reinforcement learning application in telecommunications network research, specifically, in mobile data offloading is investigated. Finally, several possible research directions of deep reinforcement learning applications in telecommunications network research are identified.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) deep reinforcement learning / mobile data offloading / telecommunication network
Paper # SR2018-91
Date of Issue 2018-10-23 (SR)

Conference Information
Committee SR
Conference Date 2018/10/30(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Mandarin Hotel, Bangkok, Thailand
Topics (in Japanese) (See Japanese page)
Topics (in English) SmartCom2018
Chair Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.)
Vice Chair Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.)
Secretary Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR)
Assistant Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.)

Paper Information
Registration To Technical Committee on Smart Radio
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Invited Talk] Deep Reinforcement Learning Applications in Telecommunications
Sub Title (in English)
Keyword(1) deep reinforcement learning
Keyword(2) mobile data offloading
Keyword(3) telecommunication network
1st Author's Name Cheng Zhang
1st Author's Affiliation Waseda University(Waseda Univ.)
Date 2018-10-30
Paper # SR2018-91
Volume (vol) vol.118
Number (no) SR-274
Page pp.pp.87-87(SR),
#Pages 1
Date of Issue 2018-10-23 (SR)