提出了一种基于进化选择的入侵规则自动学习算法。
An automatic learning method of intrusive rules based on evolutional selection was proposed.
使用技能自动学习时，不会改变原有技能的排列组合。
Auto skill Allocation no longer changes the original skill arrangement.
相比手动设计的特征表达，自动学习的表达常常可以得到一个更加好的性能。
Learned representations often result in much better performance than can be obtained with hand-designed representations.
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