Two Circle-based Aircraft Head-on Reinforcement Learning Technique using Curriculum

Insu Hwang, Jungho Bae
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Abstract

Recently, AI pilots using reinforcement learning are developing to a level that is more flexible than rule-based methods and can replace human pilots. In this paper, a curriculum was used to help head-on combat with reinforcement learning. It is not easy to learn head-on with a reinforcement learning method without a curriculum, but in this paper, through the two circle-based head-on air combat learning technique, ownship gradually increase the difficulty and become good at head-on combat. On the two-circle, the ATA angle between the ownship and target gradually increased and the AA angle gradually decreased while learning was conducted. By performing reinforcement learning with and w/o curriculum, it was engaged with the rule-based model. And as the win ratio of the curriculum based model increased to close to 100 %, it was confirmed that the performance was superior.
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基于两个圆的飞机正面强化学习技术
最近,使用强化学习的人工智能飞行员正在发展到比基于规则的方法更灵活的水平,可以取代人类飞行员。在本文中,课程被用来帮助与强化学习正面对抗。在没有课程的情况下,用强化学习的方法进行正面学习是不容易的,但本文通过两种基于圆的正面空战学习技术,逐渐增加了正面空战的难度,变得善于正面空战。在双环上,随着学习的进行,所有权与目标之间的ATA角逐渐增大,AA角逐渐减小。通过使用或不使用课程来执行强化学习,它与基于规则的模型相结合。当基于课程的模式的胜率提高到接近100%时,证实了其性能的优越性。
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