文献
J-GLOBAL ID:202202275397999155
整理番号:22A0959392
自動車エッジコンピューティングにおける深層強化学習ベース資源管理ゲーム【JST・京大機械翻訳】
A Deep Reinforcement Learning-Based Resource Management Game in Vehicular Edge Computing
著者 (6件):
Zhu Xiaoyu
(School of Computer Science and Engineering, Central South University, Changsha, China)
,
Luo Yueyi
(School of Mathematics and Statics, Central South University, Changsha, China)
,
Liu Anfeng
(School of Computer Science and Engineering, Central South University, Changsha, China)
,
Xiong Neal N.
(Department of Mathematics and Computer Science, Northeastern State University, Tahlequah, OK, USA)
,
Dong Mianxiong
(Department of Sciences and Informatics, Muroran Institute of Technology, Muroran, Japan)
,
Zhang Shaobo
(School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China)
資料名:
IEEE Transactions on Intelligent Transportation Systems
(IEEE Transactions on Intelligent Transportation Systems)
巻:
23
号:
3
ページ:
2422-2433
発行年:
2022年
JST資料番号:
W1272A
ISSN:
1524-9050
CODEN:
ITISFG
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)