中文摘要：

空战行为决策的智能性是学术界关注的重要问题之一。提出一种基于Q-学习和行为树的CGF空战行为决策方法。通过构建CGF空战行为树模型，实现CGF智能行为；通过在行为树上的Q-学习，使CGF具有不断进化的能力。仿真结果表明，该算法在与传统算法对抗中，性能优势明显且学习能力较强。

英文摘要：

The intelligence of air bat strategies is one of the important problems. A new method for air bat 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 bet- ter and with a stronger learning ability when it combats with traditional algorithm.