Deep Dense Network-Based Curriculum Reinforcement Learning for High-Speed Overtaking-Reference-Cited by-同舟云学术

Deep Dense Network-Based Curriculum Reinforcement Learning for High-Speed Overtaking

Published:2023-01 Issue:1 Volume:15 Page:453-466
ISSN:1939-1390
Container-title:IEEE Intelligent Transportation Systems Magazine
language:
Short-container-title:IEEE Intell. Transport. Syst. Mag.

Author:

Liu Jia¹^ORCID,Li Huiyun¹^ORCID,Yang Zhiheng¹,Dang Shaobo¹^ORCID,Huang Zhejun¹

Affiliation:

1. Chinese Academy of Sciences Key Laboratory of Human–Machine Intelligence Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

Funder

Shenzhen Basic Key Research Project

GuangDong Basic and Applied Basic Research Foundation

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/5117645/10015073/09789217.pdf?arnumber=9789217

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4. Deep Q‐network implementation for simulated autonomous vehicle control

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