文献
J-GLOBAL ID:202202213906354040
整理番号:22A0551379
ME-MADDPG:複雑な環境における複数エージェントのための効率的学習ベース運動計画法【JST・京大機械翻訳】
ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments
著者 (6件):
Wan Kaifang
(School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China)
,
Wu Dingwei
(School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China)
,
Li Bo
(School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China)
,
Gao Xiaoguang
(School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China)
,
Hu Zijian
(School of Electronics and Information, Northwestern Polytechnical University, Xi’an, Shaanxi Province, China)
,
Chen Daqing
(School of Engineering, London South Bank University, London, UK)
資料名:
International Journal of Intelligent Systems
(International Journal of Intelligent Systems)
巻:
37
号:
3
ページ:
2393-2427
発行年:
2022年
JST資料番号:
T0454A
ISSN:
0884-8173
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)