An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change-Reference-Cited by-同舟云学术

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An improved hierarchical deep reinforcement learning algorithm for multi-intelligent vehicle lane change

Published:2024-12 Issue: Volume:609 Page:128482
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Gao Hongbo^ORCID,Zhao Ming,Zheng Xiao^ORCID,Wang Chengbo,Zhou Lin,Wang Yafei,Ma Lei^ORCID,Cheng Bo,Wu Zhenyu,Li Yuansheng

Publisher

Elsevier BV

Reference45 articles.

1. Multi-modality 3D object detection in autonomous driving: A review;Tang;Neurocomputing,2023

2. Pedestrian intention prediction for autonomous vehicles: A comprehensive survey;Sharma;Neurocomputing,2022

3. Milestones in autonomous driving and intelligent vehicles: Survey of surveys;Chen;IEEE Trans. Intell. Veh.,2023

4. Self-learned autonomous driving at unsignalized intersections: A hierarchical reinforced learning approach for feasible decision-making;Al-Sharman;IEEE Trans. Intell. Transp. Syst.,2023

5. Exploring behavioral patterns of lane change maneuvers for human-like autonomous driving;Chen;IEEE Trans. Intell. Transp. Syst.,2022

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