Air Combat Strategies of CGF Based on Q-Learning and Behavior Tree

Abstract

The intelligence of CGF is one of the important problems in the air combat simulation. A new method for air combat strategies of CGF was proposed based on Q-Learning and Behavior Tree. The intelligence of CGF was formed through establishing behavior tree. And through Q-learning on behavior tree, the evolutionary ability was gained for CGF. Simulation shows that the method performs better and with a stronger learning ability when combat with traditional algorithm.