Mobile robot path planning using q-learning with guided
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Mobile robot path planning using q-learning with guided Distance

In path planning for mobile robot, classical Q-learning algorithm requires high iteration counts and longer time taken to achieve conver-gence. This is due to the beginning stage of classical Q-learning for path planning consists of mostly exploration, involving random di-rection decision making. Th...

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Bibliographic Details
Main Authors:	Ee, Soong Low, Pauline, Ong, Cheng, Yee Low
Format:	Article
Language:	English
Published:	Science Publishing Corporation 2018
Subjects:	TJ1040-1119 Machinery exclusive of prime movers TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
Online Access:	http://eprints.uthm.edu.my/3680/ http://eprints.uthm.edu.my/3680/1/AJ%202018%20%28721%29%20Mobile%20robot%20path%20planning%20using%20q-learning%20with%20guided.pdf

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