Tuning path tracking controllers for autonomous cars using reinforcement learning

This article proposes an adaptable path tracking control system, based on reinforcement learning (RL), for autonomous cars. A four-parameter controller shapes the behaviour of the vehicle to navigate lane changes and roundabouts. The tuning of the tracker uses an ‘educated’ Q-Learning algorithm to m...

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Bibliographic Details
Main Authors: Ana Vilaça Carrasco, João Silva Sequeira
Format: Article
Language:English
Published: PeerJ Inc. 2023-10-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1550.pdf