Path Planning Research of a UAV Base Station Searching for Disaster Victims’ Location Information Based on Deep Reinforcement Learning

Path Planning Research of a UAV Base Station Searching for Disaster Victims’ Location Information Based on Deep Reinforcement Learning

Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when performing search tasks, this paper proposes a Double DQN-state splitting Q network (DDQN-SSQN) algorithm that combines state splitting and optimal state to complete the optimal path planning of UAV based on the...

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Bibliographic Details
Main Authors: Jinduo Zhao, Zhigao Gan, Jiakai Liang, Chao Wang, Keqiang Yue, Wenjun Li, Yilin Li, Ruixue Li
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Entropy
Subjects:
UAV base station
path planning
deep reinforcement learning
received signal strength
Online Access:https://www.mdpi.com/1099-4300/24/12/1767

Internet

https://www.mdpi.com/1099-4300/24/12/1767

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