Application of Deep Reinforcement Learning in Maneuver Planning of Beyond-Visual-Range Air Combat

Application of Deep Reinforcement Learning in Maneuver Planning of Beyond-Visual-Range Air Combat

Beyond-visual-range (BVR) engagement becomes more and more popular in the modern air battlefield. The key and difficulty for pilots in the fight is maneuver planning, which reflects the tactical decision-making capacity of the both sides and determinates success or failure. In this paper, we propose...

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Bibliographic Details
Main Authors: Dongyuan Hu, Rennong Yang, Jialiang Zuo, Ze Zhang, Jun Wu, Ying Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Beyond visual range
intelligent air combat
maneuver planning and decision
missile kill envelope
deep reinforcement learning
LSTM-DQN
Online Access:https://ieeexplore.ieee.org/document/9358136/

Internet

https://ieeexplore.ieee.org/document/9358136/

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