Deep reinforcement learning Lane-Change Decision-Making for autonomous vehicles based on motion primitives library in hierarchical action space

Deep Reinforcement Learning (DRL) is capable of learning a policy with great scene adaptation ability through interactions with the environment, and has application potential in the field of autonomous driving. However, using DRL to directly control the vehicle motion command is easy to lead to fluc...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Guizhe Jin, Zhuoren Li, Bo Leng, Minhua Shao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	ELS Publishing (ELSP) 2024-12-01
Edice:	Artificial Intelligence and Autonomous Systems
Témata:	artificial intelligence autonomous vehicles machine learning reinforcement learning motion planning
On-line přístup:	https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2024/aias20240009.pdf
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!