具有共享权值的小型神经网络的Othello评价函数的时间差分学习

2007 IEEE Symposium on Computational Intelligence and Games Pub Date : 2007-04-01 DOI:10.1109/CIG.2007.368101

E. Manning

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引用次数: 5

摘要

本文提出了一种具有共享权值的人工神经网络，利用时间差分学习(TDL)的自游戏方法训练其玩奥赛罗游戏。该网络的表现与CEC 2006年奥赛罗评估功能竞赛的冠军一样好。tdl训练的网络只包含67个独特的权重，而冠军网络则有2113个

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Temporal Difference Learning of an Othello Evaluation Function for a Small Neural Network with Shared Weights

This paper presents an artificial neural network with shared weights, trained to play the game of Othello by self-play with temporal difference learning (TDL). The network performs as well as the champion of the CEC 2006 Othello Evaluation Function Competition. The TDL-trained network contains only 67 unique weights compared to 2113 for the champion

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2007 IEEE Symposium on Computational Intelligence and Games

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