Solving the optimal path planning of a mobile robot using improved Q-learning

Q-learning, a type of reinforcement learning, has gained increasing popularity in autonomous mobile robot path planning recently, due to its self-learning ability without requiring a priori model of the environment. Yet, despite such advantage, Q-learning exhibits slow convergence to the optimal sol...

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Bibliographic Details
Main Authors: Low, Ee Soong, Ong, Pauline, Cheah, Kah Chun
Format: Article
Language:English
Published: Elsevier 2019
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Online Access:http://eprints.uthm.edu.my/4217/1/AJ%202019%20%28253%29.pdf
http://eprints.uthm.edu.my/4217/
https://doi.org/10.1016/j.robot.2019.02.013
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Institution: Universiti Tun Hussein Onn Malaysia
Language: English

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