Better Computer Go Player with Neural Network and Long-term Prediction

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Mimicking go experts with convolutional neural networks

Sutskever, Ilya and Nair, Vinod · 2008

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Reinforcement learning and simulation-based search

Silver, David · 2009

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

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Pachi: State of the art open source go program

Baudis, Petr and Gailly, Jean-loup · 2012

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A survey of monte carlo tree search methods

Browne, Cameron B, Powley, Edward, Whitehouse, Daniel, Lucas, Simon M, Cowling, Peter, Rohlfshagen, Philipp, Tavener, Stephen, Perez, Diego, Samothrakis, Spyridon, Colton, Simon, et al · 2012

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Training deep convolutional neural networks to play go

Clark, Christopher and Storkey, Amos · 2015

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Adaptive playouts in monte-carlo tree search with policy-gradient reinforcement learning

Graf, Tobias and Platzner, Marco · 2015

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Deep residual learning for image recognition

Original

He, Kaiming, Zhang, Xiangyu, Ren, Shaoqing, and Sun, Jian · 2015

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Move evaluation in go using deep convolutional neural networks

Maddison, Chris J, Huang, Aja, Sutskever, Ilya, and Silver, David · 2015

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Mastering the game of go with deep neural networks and tree search

Silver, David, Huang, Aja, Maddison, Chris J., Guez, Arthur, Sifre, Laurent, van den Driessche, George, Schrittwieser, Julian, Antonoglou, Ioannis, Panneershelvam, Veda, Lanctot, Marc, Dieleman, Sander, Grewe, Dominik, Nham, John, Kalchbrenner, Nal, Sutskever, Ilya, Lillicrap, Timothy, Leach, Madeleine, Kavukcuoglu, Koray, Graepel, Thore, and Hassabis, Demis · 2016

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