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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
|
| Subjects: | |
| 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 |