From Simple Features to Sophisticated Evaluation Functions

From Simple Features to Sophisticated Evaluation Functions
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从简单的特征到复杂的评估函数

DOI:
10.1007/3-540-48957-6_8
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发表时间:
1998
期刊:
ArXiv
影响因子:
--
通讯作者:
M. Buro
M. Buro
中科院分区:
--
文献类型:
--
作者:
M. Buro

文献摘要

被引文献

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本文讨论了一个实用的框架,半自动构造的评价函数的游戏。基于结构化的评价函数表示,探索的特征空间的程序,是能够发现新的功能,在计算上可行的方式。除了理论方面,相关的实际问题,如生成的训练位置,功能选择,并在大型线性系统的权重拟合进行了讨论。最后,我们提出了奥塞洛,这表明所描述的方法的潜力的实验结果。
This paper discusses a practical framework for the semi-automatic construction of evaluation-functions for games. Based on a structured evaluation function representation, a procedure for exploring the feature space is presented that is able to discover new features in a computationally feasible way. Besides the theoretical aspects, related practical issues such as the generation of training positions, feature selection, and weight fitting in large linear systems are discussed. Finally, we present experimental results for Othello, which demonstrate the potential of the described approach.