Review of Autonomous Driving Decision-Making Research Based on Reinforcement Learning

Decision-making technology of autonomous vehicle is promoted by the development of reinforcement learning，and intelligent decision-making technology has become a key issue of high concern in the field of autonomous driving. Taking the development of reinforcement learning algorithm as the main line in this paper，the in-depth application of this algorithm in the field of single-car autonomous driving decision-making is summarized. Traditional reinforcement learning algorithms，classic algorithms and frontier algorithms are summarized and compared from the aspect of basic principles and theoretical modeling methods. According to the classification of autonomous driving decision-making methods in different scenarios，the impact of environmental state observability on modeling is analyzed，and the application technology routes of typical reinforcement learning algorithms at different levels are emphasized. The research prospects for the autonomous driving decision-making method are proposed in order to provide a useful reference for the research of autonomous driving decision-making. © 2023 SAE-China. All rights reserved.