An Intelligent Maneuver Decision-Making Approach for Air Combat Based on Deep Reinforcement Learning and Transformer Networks

An Intelligent Maneuver Decision-Making Approach for Air Combat Based on Deep Reinforcement Learning and Transformer Networks

The traditional maneuver decision-making approaches are highly dependent on accurate and complete situation information, and their decision-making quality becomes poor when opponent information is occasionally missing in complex electromagnetic environments. In order to solve this problem, an autono...

Full description

Bibliographic Details
Main Authors: Wentao Li, Feng Fang, Dongliang Peng, Shuning Han
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Entropy
Subjects:
air combat maneuver decision-making
deep reinforcement learning
transformer network
information loss environment
Online Access:https://www.mdpi.com/1099-4300/26/12/1036

Internet

https://www.mdpi.com/1099-4300/26/12/1036

Similar Items