Learning to Navigate in a 3D Environment

被引：1

作者：

Sani, Nurulhidayati Haji Mohd ^{[1
]}

Phon-Amnuaisuk, Somnuk ^{[1
,2
]}

Thien Wan Au ^{[1
]}

Ee Leng Tan ^{[3
]}

机构：

[1] Univ Teknol Brunei, Sch Comp & Informat, Jalan Tungku Link, BE-1410 Gadong, Brunei

[2] Univ Teknol Brunei, Ctr Innovat Engn, BE-1410 Gadong, Brunei

[3] Sesame World Technol, Berakas, Brunei

来源：

MULTI-DISCIPLINARY TRENDS IN ARTIFICIAL INTELLIGENCE, (MIWAI 2016) | 2016年 / 10053卷

关键词：

Navigation; Machine learning; Apriori; Decision tree; Naive bayes; TETRIS;

D O I：

10.1007/978-3-319-49397-8_23

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we investigate the knowledge acquisition and the learning ability of an agent in a three-dimensional (3D) environment using data mining techniques. We apply three data mining techniques: naive Bayes, decision tree and apriori; to a human-controlled navigation and then investigate the characteristic of knowledge discovered from each of these techniques. The results shows that the agent is able to learn to navigate automatically in the environment but with different outcomes and limitations.

引用

页码：271 / 278

页数：8

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