Move Evaluation in Go Using Deep Convolutional Neural Networks

Temporal difference learning of position evaluation in the game of Go

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The integration of a priori knowledge into a Go playing neural network

Enzenberger, Markus · 1996

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Computer Go

Müller, Martin · 2002

Earlier work this paper cites.

Bandit based Monte-Carlo planning

Kocsis, Levente and Szepesvári, Csaba · 2006

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Efficient selectivity and backup operators in Monte-Carlo tree search

Coulom, Rémi · 2007

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Combining online and offline learning in UCT

Gelly, S. and Silver, D · 2007

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Progressive strategies for Monte-Carlo tree search

Chaslot, Guillaume M. J-B., Winands, Mark H. M., van den Herik, H. Jaap, Uiterwijk, Jos W. H. M., and Bouzy, Bruno · 2008

Cited alongside, same era.

Mimicking Go experts with convolutional neural networks

Sutskever, Ilya and Nair, Vinod · 2008

Cited alongside, same era.

Fuego - an open-source framework for board games and Go engine based on monte carlo tree search

Enzenberger, Markus, Müller, Martin, Arneson, Broderick, and Segal, R · 2010

Cited alongside, same era.

Monte-Carlo tree search and rapid action value estimation in computer Go

Gelly, S. and Silver, D · 2011

Cited alongside, same era.

Monte-Carlo simulation balancing in practice

Huang, Shih-Chieh, Coulom, Rémi, and Lin, Shun-Shii · 2011

Cited alongside, same era.

Pachi: State of the art open source go program

Baudiš, Petr and Gailly, Jean-loup · 2012

Large scale distributed deep networks

Dean, Jeffrey, Corrado, Greg, Monga, Rajat, Chen, Kai, Devin, Matthieu, Mao, Mark, aurelio Ranzato, Marc’, Senior, Andrew, Tucker, Paul, Yang, Ke, Le, Quoc V., and Ng, Andrew Y · 2012

Later among the works it cites.

Imagenet classification with deep convolutional neural networks

Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoffrey E · 2012

Later among the works it cites.

Investigating the limits of Monte-Carlo tree search methods in computer Go

Huang, Shih-Chieh and Müller, Martin · 2013

Later among the works it cites.

Teaching deep convolutional neural networks to play Go

Original

Clark, Christopher and Storkey, Amos · 2014

Closest in time.

Very deep convolutional networks for large-scale image recognition

Original

Simonyan, Karen and Zisserman, Andrew · 2014

Closest in time.