Enhancing vehicle ride comfort through deep reinforcement learning with expert-guided soft-hard constraints and system characteristic considerations-Reference-Cited by-同舟云学术

Enhancing vehicle ride comfort through deep reinforcement learning with expert-guided soft-hard constraints and system characteristic considerations

Published:2024-01 Issue: Volume:59 Page:102328
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wang Cheng,Cui Xiaoxian,Zhao Shijie^ORCID,Zhou Xinran,Song Yaqi,Wang Yang,Guo Konghui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference78 articles.

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3. Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network;Zhao;Transportation Research Part c: Emerging Technologies.,2021

4. The application of deep learning in stereo matching and disparity estimation: A bibliometric review;Wang;Expert Syst. Appl.,2024

5. Vehicle ride comfort optimization in the post-braking phase using residual reinforcement learning;Hou;Adv. Eng. Inf.,2023

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