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J-GLOBAL ID:201602247328576318
整理番号:16A0653559
SHIVから高次元状態空間における実証効率的学習のためのサポートベクトルを用いたDAggerにおける監督者負担【Powered by NICT】
SHIV: Reducing supervisor burden in DAgger using support vectors for efficient learning from demonstrations in high dimensional state spaces
著者 (7件):
Laskey Michael
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Staszak Sam
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Hsieh Wesley Yu-Shu
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Mahler Jeffrey
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Pokorny Florian T.
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Dragan Anca D.
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
,
Goldberg Ken
(Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, 94720, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2016
号:
ICRA
ページ:
462-469
発行年:
2016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)