文献
J-GLOBAL ID:201802237188163911
整理番号:18A0187261
カーネルベースの強化学習を用いた自律車両のための右折の交通シナリオにおける速度制御【Powered by NICT】
Velocity control in a right-turn across traffic scenario for autonomous vehicles using kernel-based reinforcement learning
著者 (5件):
Zhang Yuxiang
(State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, PR China 130025)
,
Gao Bingzhao
(State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, PR China 130025)
,
Guo Lulu
(State Key Laboratory of Automotive Simulation and Control Jilin University, Changchun, PR China 130025 and the Department of Control Science and Engineering Jilin University, Changchun, PR China 130025)
,
Chen Hong
(State Key Laboratory of Automotive Simulation and Control Jilin University, Changchun, PR China 130025 and the Department of Control Science and Engineering Jilin University, Changchun, PR China 130025)
,
Zhao Jinghua
(Computer College, Jilin Normal University, Siping, PR China 136000)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
CAC
ページ:
6211-6216
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)