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Combining evolutionary algorithms and case-based reasoning for learning high-quality shooting strategies in AI birds

机译:结合进化算法和基于案例的推理来学习AI鸟类的高质量射击策略

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Self-adaptation and the ability to assimilate new knowledge are two fundamental characteristics of intelligent systems. In this paper we leverage methods from evolutionary optimization and from case-based reasoning to construct an agent that is able to evolve in such a way that it is able to successfully master the popular video game Angry Birds.
机译:自适应和吸收新知识的能力是智能系统的两个基本特征。在本文中,我们利用了来自进化优化和基于案例推理的方法来构建一个能够以成功掌握流行视频游戏《愤怒的小鸟》的方式发展的代理。

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