Genetic network programming-reinforcement learning based safe and smooth mobile robot navigation in unknown dynamic environments

Genetic network programming-reinforcement learning based safe and smooth mobile robot navigation in unknown dynamic environments

Aims: The aims of this study were to identify the Fusarium isolates based on translation elongation factor (tef) 1α sequence, to determine the genetic diversity among isolates and species using selected microsatellite markers and to examine the pathogenicity of Fusarium isolates causing fruit rot di...

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Bibliographic Details
Main Authors: Findi, Ahmed H. M., Marhaban, Mohammad Hamiruce, Raja Ahmad, Raja Mohd Kamil, Hassan, Mohd Khair
Format: Article
Language:English
Published: Asian Research Publication Network 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61954/
http://psasir.upm.edu.my/id/eprint/61954/1/Genetic%20network%20programming-reinforcement%20learning%20based%20safe%20and%20smooth%20mobile%20robot%20navigation%20in%20unknown%20dynamic%20environments.pdf

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