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
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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
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页码:594 / 600
页数:7
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