Factorization Ranking Model for Move Prediction in the Game of Go

THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp. 1359-1365, 2016.

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Abstract:

In this paper, we investigate the move prediction problem in the game of Go by proposing a new ranking model named Factorization Bradley Terry (FBT) model. This new model considers the move prediction problem as group competitions while also taking the interaction between features into account. A FBT model is able to provide a probability...More

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