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Monte Carlo experiments in computer Go

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If you have a question about this talk, please contact Phil Cowans.

Monte Carlo in application to domain of game of Go is a surprisingly strong and promising technique. However experiments show that it’s performance is very sharply limited. At first, after presenting state of the art in this area, I will try to explain both strengths and weaknesses of this approach. Then I will propose an extension of Monte Carlo allowing to overcome it’s limitations. In the end I will present few other modifications and ideas which may allow to further improve this algorithm.

This talk is part of the Inference Group series.

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