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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Main Authors: | Ee, Soong Low, Pauline, Ong, Cheng, Yee Low |
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Format: | Article |
Language: | English |
Published: |
Science Publishing Corporation
2018
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Subjects: | |
Online Access: | http://eprints.uthm.edu.my/3680/1/AJ%202018%20%28721%29%20Mobile%20robot%20path%20planning%20using%20q-learning%20with%20guided.pdf http://eprints.uthm.edu.my/3680/ |
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