同济大学学报（自然科学版）2024，Vol.52Issue(4)：520-531,12.DOI:10.11908/j.issn.0253-374x.23397
强化学习在自动驾驶技术中的应用与挑战
Applications and Challenges of Reinforcement Learning in Autonomous Driving Technology
摘要
Abstract
This paper provides a comprehensive overview and summary of the application of reinforcement learning in the field of autonomous driving.First,an introduction to the principles and development of reinforcement learning is presented.Following that,the autonomous driving technology system and the fundamentals required for the application of reinforcement learning in this field are systematically introduced.Subsequently,application cases of reinforcement learning in autonomous driving are described according to different directions of use.Finally,the current challenges of applying reinforcement learning in the field of autonomous driving are deeply analyzed,and several prospects are proposed.关键词
强化学习/自动驾驶/人工智能Key words
reinforcement learning/autonomous driving/artificial intelligence分类
交通工程引用本文复制引用
何逸煦,林泓熠,刘洋,杨澜,曲小波..强化学习在自动驾驶技术中的应用与挑战[J].同济大学学报（自然科学版）,2024,52(4):520-531,12.基金项目
国家重点研发计划(2021YFB2501205) （2021YFB2501205）
国家自然科学基金(52220105001,52221005,72322002,72361137001,72331001,52131204) （52220105001,52221005,72322002,72361137001,72331001,52131204）
长安大学研究生科研创新实践项目(300103723040) （300103723040）
