文献
J-GLOBAL ID:202102280850163274
整理番号:21A3269354
RLCFR:深層強化学習による反事実レグレットの最小化【JST・京大機械翻訳】
RLCFR: Minimize counterfactual regret by deep reinforcement learning
著者 (8件):
Li Huale
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Wang Xuan
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Wang Xuan
(Peng Cheng Laboratory, Shenzhen, 518000, China)
,
Jia Fengwei
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Wu Yulin
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Zhang Jiajia
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Qi Shuhan
(School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, 518055, China)
,
Qi Shuhan
(Peng Cheng Laboratory, Shenzhen, 518000, China)
資料名:
Expert Systems with Applications
(Expert Systems with Applications)
巻:
187
ページ:
Null
発行年:
2022年
JST資料番号:
W0178A
ISSN:
0957-4174
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)