A Reinforcement Learning Method Based on an Improved Sampling Mechanism for Unmanned Aerial Vehicle Penetration

A Reinforcement Learning Method Based on an Improved Sampling Mechanism for Unmanned Aerial Vehicle Penetration

The penetration of unmanned aerial vehicles (UAVs) is an important aspect of UAV games. In recent years, UAV penetration has generally been solved using artificial intelligence methods such as reinforcement learning. However, the high sample demand of the reinforcement learning method poses a signif...

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Bibliographic Details
Main Authors:	Yue Wang, Kexv Li, Xing Zhuang, Xinyu Liu, Hanyu Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-07-01
Series:	Aerospace
Subjects:	UAV penetration reinforcement learning sample utilization task completion division
Online Access:	https://www.mdpi.com/2226-4310/10/7/642

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