文献
J-GLOBAL ID:201902244141695540
整理番号:19A2914162
通常のQ学習に近づく制約付き深層Q学習【JST・京大機械翻訳】
Constrained Deep Q-Learning Gradually Approaching Ordinary Q-Learning
著者 (7件):
Ohnishi Shota
(Department of Systems Science, Graduate School of Informatics, Kyoto University, Now Affiliated With Panasonic Co., Ltd., Kyoto, Japan)
,
Uchibe Eiji
(ATR Computational Neuroscience Laboratories, Kyoto, Japan)
,
Yamaguchi Yotaro
(Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan)
,
Nakanishi Kosuke
(Honda R&D Co., Ltd., Saitama, Japan)
,
Yasui Yuji
(Honda R&D Co., Ltd., Saitama, Japan)
,
Ishii Shin
(ATR Computational Neuroscience Laboratories, Kyoto, Japan)
,
Ishii Shin
(Department of Systems Science, Graduate School of Informatics, Kyoto University, Kyoto, Japan)
資料名:
Frontiers in Neurorobotics (Web)
(Frontiers in Neurorobotics (Web))
巻:
13
ページ:
103
発行年:
2019年
JST資料番号:
U7086A
ISSN:
1662-5218
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
スイス (CHE)
言語:
英語 (EN)