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

• المؤلفون الرئيسيون: Nguyen, Quang Hieu, Dinh, Thai Hoang, Niyato, Dusit, Wang, Ping, Kim, Dong In, Yuen, Chau
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Autonomous Vehicles; Deep Reinforcement Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164292

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...