Fuzzy interporation-based Q-learning with continuous states and actions

被引：0
作者：
Horiuchi, T [1 ]
Fujino, A [1 ]
Katai, O [1 ]
Sawaragi, T [1 ]
机构：
[1] KYOTO UNIV,DEPT PRECIS ENGN,SAKYO KU,KYOTO 60601,JAPAN
来源：
FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3 | 1996年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
引用
收藏
页码：594 / 600
页数：7
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