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- W2893447085 abstract "Monte-CarloTreeSearch is a popular method to implement computer programs for board games, and its performance can be significantly improved by including static knowledge about the game, forexample in the form of patterns learned from game records. Finding the right pattern shapes is still an open problem, and we propose in this paper a method to select the pattern shapes. Then, the patterns of the pattern shapes will be weighted by Bradley-Terry Minorization Maximization before they are used to be built an action evaluation function for Monte Carlo Tree Search program. We have implemented this method on the case of the game of Connect-6. The final pattern shapes obtained after many trials would be ideal to improve the strength of our Connect-6 program." @default.
- W2893447085 created "2018-10-05" @default.
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- W2893447085 date "2018-02-24" @default.
- W2893447085 modified "2023-10-18" @default.
- W2893447085 title "Selecting Pattern Shapes to Build Up An Evaluation Function for Connect-6 Game" @default.
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- W2893447085 doi "https://doi.org/10.1145/3198910.3198920" @default.
- W2893447085 hasPublicationYear "2018" @default.
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