Maneuver Decision-Making through Automatic Curriculum Reinforcement Learning without Handcrafted Reward Functions

Maneuver Decision-Making through Automatic Curriculum Reinforcement Learning without Handcrafted Reward Functions

Maneuver decision-making is essential for autonomous air combat. However, previous methods usually make decisions to aim at the target instead of hitting the target and use discrete action spaces instead of continuous action spaces. While these simplifications make maneuver decision-making easier, t...

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Bibliographic Details
Main Authors: Yujie Wei, Hongpeng Zhang, Yuan Wang, Changqiang Huang
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
reinforcement learning
curriculum learning
maneuver decision-making
unmanned combat aerial vehicle
sparse rewards
Online Access:https://www.mdpi.com/2076-3417/13/16/9421

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https://www.mdpi.com/2076-3417/13/16/9421

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