| Title | Mastering Cooperative Driving Strategy in Complex Scenarios using Multi-Agent Reinforcement Learning |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISBN | 979-8-3503-2719-9
|
| Source Title | |
| Pages | 372-377
|
| Conference Date | 17-20 July 2023
|
| Conference Place | Datong, China
|
| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10249648 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/567782 |
| Affiliation | 1.Southern University of Science and Technology, Shenzhen, China 2.CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China |
| First Author Affilication | Southern University of Science and Technology |
| First Author's First Affilication | Southern University of Science and Technology |
| Recommended Citation GB/T 7714 |
Qingyi Liang,Zhengmin Jiang,Jianwen Yin,et al. Mastering Cooperative Driving Strategy in Complex Scenarios using Multi-Agent Reinforcement Learning[C],2023:372-377.
|
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment