Autonomous Vehicle Decision and Control through Reinforcement Learning with Traffic Flow Randomization

Most of the current studies on autonomous vehicle decision-making and control based on reinforcement learning are conducted in simulated environments. The training and testing of these studies are carried out under the condition of rule-based microscopic traffic flow, with little consideration regar...

Full description

Bibliographic Details

Published in:	Machines
Main Authors:	Yuan Lin, Antai Xie, Xiao Liu
Format:	Article
Language:	English
Published:	MDPI AG 2024-04-01
Subjects:	autonomous vehicle reinforcement learning decision and control traffic flow domain randomization
Online Access:	https://www.mdpi.com/2075-1702/12/4/264