A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm

A Navigation Algorithm Based on the Reinforcement Learning Reward System and Optimised with Genetic Algorithm

Regarding autonomous vehicle navigation, reinforcement learning is a technique that has demonstrated significant results. Nevertheless, it is a technique with a high number of parameters that need to be optimised without prior information, and correctly performing this is a complicated task. In this...

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Bibliographic Details
Main Authors: Mireya Cabezas-Olivenza, Ekaitz Zulueta, Iker Azurmendi-Marquinez, Unai Fernandez-Gamiz, Danel Rico-Melgosa
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
navigation
reinforcement learning
genetic algorithm
optimisation
autonomous vehicle
q-learning
Online Access:https://www.mdpi.com/2227-7390/12/24/4030
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