… , with the successful application of deep reinforcement learning (DRL) in … reinforcement
learning to solve air combat maneuver decision-making problem. The method of offline learning …

… initial machine learning process. Experimental results showed that multiple valuable air
combat … We hope this study could be extended to the future of air combat machine intelligence …

… supervised machine learning methods using reliable data from beyond visual range air
combat … tools based on machine learning models, which may improve the flight quality in BVR …

… artificial intelligence model using artificial neural networks that provide parameters to improve
the situational awareness of a Beyond Visual Range (BVR) air combat pilot. In this combat …

… system based on machine learning for BVR air combat. … machine learning model through
the XGBoost library to develop an engagement decision support tool for BVR air combat in …

… also adopt a machine learning approach to target threat assessment. They use one-to-one
air combat data from the air combat maneuvering instrument (ACMI), such as the relative …

… overload in BVR air combat, this paper … and machine learning algorithms to provide pilots
with tactical strategies. This paper first designs a hierarchical task network in a BVR air combat …

… machine learning methods using reliable data from constructive simulations to estimate the
most effective moment for launching missiles during air combat… on machine learning models, …

… based on deep reinforcement learning(DRL) is proposed for the decision-making problem
… visual range(BVR) air combat. Firstly, the relative kinematics model of 1 vs 1 air combat is …

… a typical beyond-visual-range air combat engagement, separating … intent to employ
reinforcement learning for tasks containing … We propose dividing the beyond-visual-range air …