Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs

A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. The cooperative guidance process is first analyzed for multiple aircraft by formulati...

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Bibliographic Details
Main Authors: Yu Zhao, Jifeng Guo, Chengchao Bai, Hongxing Zheng
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/8818013
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