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GNU Go

Known as: GnuGo, Pocket GnuGo 
GNU Go is a free software program by the Free Software Foundation that plays Go. Its source code is quite portable, and can be easily compiled for… 
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AndroidComputer GoComputer OlympiadConvolutional neural network

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Board state evaluation in the game of Go-Preliminary WPE report
The game of Go is very interesting from a machine learning point of view since it has been shown to be PSPACE hard to solve… 
2012
2012
Building Opening Books for 9×9 Go Without Relying on Human Go Expertise
Problem statement: Expert level opening knowledge is beneficial to game playing programs. Unfortunately, expert level opening… 
2007
2007
Heuristics in Monte Carlo Go
Writing programs to play the classical Asian game of Go is considered one of the grand challenges of artificial intelligence… 
2007
2007
Evolving a roving-eye for go revisited
This thesis presents a further development of Neuroevolution of Augmenting topologies(NEAT)[21]. The author augments NEAT by… 
2006
2006
GoNN Incorporating a Neural Network into the Game of Go
While Backgammon, Checkers and even Chess playing programs are seen defeating human world champions, there has been very little… 
2005
2005
Improving Sluggo through Hashing and Sub-branching 7.3 Adding Storage Techniques to the Hash Scheme to Make Sluggo Play Faster... 38 Appendix A: Induction Proof of (1-x) List of Figures List of…
Go, a board game which originated from China, is now very popular in east Asia and gaining its popularity throughout the rest of… 
2004
2004
The Go-Playing Program Called Go81
Go is an ancient game, for which it has proven to be very difficult to create an artificial player. Go81 is yet another try in… 
2004
2004
A Temporal Model with Influence and Territory in Computer
In computer Go programming, utilizing knowledge from look-ahead intelligently is an area worthy of research. Look-ahead in the… 
2003
2003
DEVELOPMENTS ON MONTE CARLO GO
We have developed two go programs, Olga and Oleg, using a Monte Carlo approach, simpler than Bruegmann’s [Bruegmann, 1993], and… 
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