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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2023-10-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-1550.pdf |