Air Bat Strategies of CGF Based on Q-learning and Behavior Tree

doi:10.3969/j.issn.1006-2475.2017.05.007

Computer and Modernization ›› 2017, Vol. 0 ›› Issue (5): 37-39，44.doi: 10.3969/j.issn.1006-2475.2017.05.007

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Air Bat Strategies of CGF Based on Q-learning and Behavior Tree

Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai 264001, China

Received:2017-01-20 Online:2017-05-26 Published:2017-05-31

Abstract

Abstract: 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 better and with a stronger learning ability when it combats with traditional algorithm.

Key words: air bat strategies, artificial intelligence, behavior tree, Q-learning

FANG Jun,YAN Wen-jun, DENG Xiang-yang, LING Qing. Air Bat Strategies of CGF Based on Q-learning and Behavior Tree[J]. Computer and Modernization, 2017, 0(5): 37-39，44.

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Air Bat Strategies of CGF Based on Q-learning and Behavior Tree

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