文献
J-GLOBAL ID:202202242224982149
整理番号:22A0416852
強化学習のためのフライトシミュレーションモデルアーキテクチャ【JST・京大機械翻訳】
A Flight Simulation Model Architecture for Reinforcement Learning
著者 (8件):
Wang KaiXuan
(China Academy of Launch Vehicle Technology, Beijing, People’s Republic of China)
,
Wang KaiXuan
(School of Automation Science and Electrical Engineering, Beihang University, Beijing, People’s Republic of China)
,
Shen YuTing
(National Space Science Center, Chinese Academy of Sciences, Beijing, China)
,
Shen YuTing
(University of Chinese Academy of Sciences, Beijing, People’s Republic of China)
,
Shen YuTing
(The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, People’s Republic of China)
,
Zhang FuQuan
(Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, (Minjiang University), Fuzhou, People’s Republic of China)
,
Zhao Nan
(China Academy of Launch Vehicle Technology, Beijing, People’s Republic of China)
,
Yang Lijie
(China Academy of Launch Vehicle Technology, Beijing, People’s Republic of China)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
833
ページ:
381-391
発行年:
2022年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)