文献
J-GLOBAL ID:201802228935917415
整理番号:18A1495116
迷路問題における内部報酬を用いた強化学習に基づくマルチエージェント協調
Multi-Agent Cooperation Based on Reinforcement Learning with Internal Reward in Maze Problem
著者 (6件):
UWANO Fumito
(The University of Electro-Communications)
,
TATEBE Naoki
(The University of Electro-Communications)
,
TAJIMA Yusuke
(The University of Electro-Communications)
,
NAKATA Masaya
(The University of Electro-Communications)
,
KOVACS Tim
(University of Bristol)
,
TAKADAMA Keiki
(The University of Electro-Communications)
資料名:
SICE Journal of Control, Measurement, and System Integration
(SICE Journal of Control, Measurement, and System Integration)
巻:
11
号:
4
ページ:
321-330(J-STAGE)
発行年:
2018年
JST資料番号:
L7831A
ISSN:
1882-4889
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
日本 (JPN)
言語:
英語 (EN)