Maneuver Strategy Generation of UCAV for within Visual Range Air Combat Based on Multi-Agent Reinforcement Learning and Target Position Prediction

Maneuver Strategy Generation of UCAV for within Visual Range Air Combat Based on Multi-Agent Reinforcement Learning and Target Position Prediction

With the development of unmanned combat air vehicles (UCAVs) and artificial intelligence (AI), within visual range (WVR) air combat confrontations utilizing intelligent UCAVs are expected to be widely used in future air combats. As controlling highly dynamic and uncertain WVR air combats from the gr...

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Bibliographic Details
Main Authors: Weiren Kong, Deyun Zhou, Zhen Yang, Kai Zhang, Lina Zeng
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
air combat
multi-agent deep reinforcement learning
maneuver strategy
network training
unmanned combat aerial vehicle
Online Access:https://www.mdpi.com/2076-3417/10/15/5198

Internet

https://www.mdpi.com/2076-3417/10/15/5198

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