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An Automated Driving Strategy Generating Method Based on WGAIL–DDPG Cover

An Automated Driving Strategy Generating Method Based on WGAIL–DDPG

International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 3 (September 2021)
By: Mingheng Zhang,  Xing Wan,  Longhui Gang,  Xinfei Lv,  Zengwen Wu and  Zhaoyang Liu  
Open Access
|Sep 2021

Authors

Mingheng Zhang

zhangmh@dlut.edu.cn

State Key Laboratory of Structure Analysis for Industrial Equipment, Dalian University of Technology, China
School of Automotive Engineering, Dalian University of Technology, China

Xing Wan

School of Automotive Engineering, Dalian University of Technology, China

Longhui Gang

School of Navigation, Dalian Maritime University, China

Xinfei Lv

School of Automotive Engineering, Dalian University of Technology, China

Zengwen Wu

School of Automotive Engineering, Dalian University of Technology, China

Zhaoyang Liu

School of Automotive Engineering, Dalian University of Technology, China
DOI: https://doi.org/10.34768/amcs-2021-0031 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 461 - 470
Submitted on: Jan 22, 2021
Accepted on: Jul 12, 2021
Published on: Sep 27, 2021
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
automated driving system,
deep learning,
deep reinforcement learning,
imitation learning,
deep deterministic policy gradient
Related subjects:
Mathematics,
Applied mathematics

© 2021 Mingheng Zhang, Xing Wan, Longhui Gang, Xinfei Lv, Zengwen Wu, Zhaoyang Liu, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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