Deep Reinforcement Learning Algorithm with Long Short-Term Memory Network for Optimizing Unmanned Aerial Vehicle Information Transmission

Deep Reinforcement Learning Algorithm with Long Short-Term Memory Network for Optimizing Unmanned Aerial Vehicle Information Transmission

The optimization of information transmission in unmanned aerial vehicles (UAVs) is essential for enhancing their operational efficiency across various applications. This issue is framed as a mixed-integer nonconvex optimization challenge, which traditional optimization algorithms and reinforcement l...

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Bibliographic Details
Main Authors: Yufei He, Ruiqi Hu, Kewei Liang, Yonghong Liu, Zhiyuan Zhou
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Mathematics
Subjects:
unmanned aerial vehicle (UAV)
deep reinforcement learning (DRL)
long short-term memory (LSTM)
optimal control
nonconvex optimization
Online Access:https://www.mdpi.com/2227-7390/13/1/46
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