Keyword

computer Go

Description: Computer Go is the field of developing and studying computer programs that play Go, including artificial intelligence and search methods.

Primary topic: Artificial Intelligence in Games (90%)

Wikidata ID: wiki/Q1207836

OpenAlex ID: keywords/computer-go

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

2016 · David Silver, Aja Huang, et al. · Nature · 15,585

A Survey of Monte Carlo Tree Search Methods

2012 · Cameron B. Browne, Edward Powley, et al. · IEEE Transactions on Computational Intelligence and AI in Games · 2,964

Fast gradient-descent methods for temporal-difference learning with linear function approximation

2009 · Richard S. Sutton, Hamid Reza Maei, et al. · International Conference on Machine Learning · 500

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

2011 · Sylvain Gelly, David Silver · Artificial Intelligence · 368

Modiﬁcation of UCT with Patterns in Monte-Carlo Go

2006 · Sylvain Gelly, Yizao Wang, et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 289

Simulation-based approach to general game playing

2008 · Hilmar Finnsson, Yngvi Björnsson · 238

From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied to Optimization and Planning

2014 · Rémi Munos · Foundations and Trends® in Machine Learning · 233

Multi-armed bandits with episode context

2011 · Christopher D. Rosin · Annals of Mathematics and Artificial Intelligence · 209

Computer Go: An AI oriented survey

2001 · Bruno Bouzy, Tristan Cazenave · Artificial Intelligence · 205

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Exploration exploitation in Go: UCT for Monte-Carlo Go

2006 · Gelly, Sylvain, Wang, Yizao · HAL (Le Centre pour la Communication Scientifique Directe) · 191

Computer Go

2002 · Martin Müller · Artificial Intelligence · 177

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Fuego—An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search

2010 · Markus Enzenberger, Martin Muller, et al. · IEEE Transactions on Computational Intelligence and AI in Games · 174

The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions

2012 · Sylvain Gelly, Marc Schoenauer, et al. · 149

The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

2009 · Chang-Shing Lee, Mei-Hui Wang, et al. · IEEE Transactions on Computational Intelligence and AI in Games · 141

The grand challenge of computer Go

2012 · Sylvain Gelly, Levente Kocsis, et al. · Communications of the ACM · 137

Monte-Carlo Go Developments

2004 · B. Bouzy, B. Helmstetter · Advances in Computer Games · 128

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Modifications of UCT and sequence-like simulations for Monte-Carlo Go

2007 · Yizao Wang, Sylvain Gelly · IEEE Symposium on Computational Intelligence and Games (CIG) · 124

Reinforcement learning of local shape in the game of go

2007 · David Silver, Richard S. Sutton, et al. · UCL Discovery (University College London) · 122

Achieving master level play in 9×9 computer go

2008 · Sylvain Gelly, David Silver · UCL Discovery (University College London) · 118

Sample-based learning and search with permanent and transient memories

2008 · David Silver, Richard S. Sutton, et al. · International Conference on Machine Learning · 108

Temporal-difference search in computer Go

2012 · David Silver, Richard S. Sutton, et al. · Machine Learning · 93

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Monte-Carlo simulation balancing

2009 · David Silver, Gerald Tesauro · International Conference on Machine Learning · 93

Evolving a Roving Eye for Go

2004 · Kenneth O. Stanley, Risto Miikkulainen · Lecture notes in computer science · 86

Monte-Carlo strategies for computer Go

2006 · Guillaume Chaslot, J.T. Saito, et al. · Research Publications (Maastricht University) · 83

Bayesian pattern ranking for move prediction in the game of Go

2006 · David Stern, Ralf Herbrich, et al. · International Conference on Machine Learning · 77

Works count: 583

Citation count: 24,700