Action Prediction in Smart Home Based on Reinforcement Learning

被引：2
|
作者：
Hassan, Marwa [1 ]
Atieh, Mirna [1 ]
机构：
[1] Lebanese Univ, Fac Econ Sci & Business Adm, Lebanon, NH 03766 USA
来源：
SMART HOMES AND HEALTH TELEMATICS | 2015年 / 8456卷
关键词：
Ambient computing; Intelligent environment; Online learning; Reinforcement learning; Software adaptation;
D O I：
10.1007/978-3-319-14424-5_22
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an "intelligent" environment that can be occupied by an elderly or handicapped person. It is characterized by its online learning and continuous adaptation based on a new algorithm called "Planning Q-learning Algorithm (PQLA)". The user can make feedback promptly which simulates an algorithm that reconfigures the existing plans. The software adaptation is run under middleware "WCOMP" based on the aspect of assembly concept to adapt to the environmental changes.
引用
收藏
页码：207 / 212
页数：6
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