Transferable deep reinforcement learning framework for autonomous vehicles with joint radar-data communications

Transferable deep reinforcement learning framework for autonomous vehicles with joint radar-data communications

Autonomous Vehicles (AVs) are required to operate safely and efficiently in dynamic environments. For this, the AVs equipped with Joint Radar-Communications (JRC) functions can enhance the driving safety by utilizing both radar detection and data communication functions. However, optimizing the perf...

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Bibliographic Details
Main Authors: Nguyen, Quang Hieu, Dinh, Thai Hoang, Niyato, Dusit, Wang, Ping, Kim, Dong In, Yuen, Chau
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Autonomous Vehicles
Deep Reinforcement Learning
Online Access:https://hdl.handle.net/10356/164292
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/164292

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