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Joseki
FUEGO—An Open-Source Framework for Board Games and Go Engine Based on Monte Carlo Tree Search Markus Enzenberger, Martin Müller, Broderick Arneson, and Richard Segal
Reinforcement Learning of Local Shape in the Game of Go
Curriculum Guide for Go in Schools
FUEGO – an Open-Source Framework for Board Games and Go Engine Based on Monte-Carlo Tree Search
Go Books Detail
1 Introduction
Active Opening Book Application for Monte-Carlo Tree Search in 19×19 Go
The Official AGA Tournament Guide
By Arend Bayer, Daniel Bump, Evan Berggren Daniel, David Denholm
Going-Insurrection-Read.Pdf
Machine Learning, Game Play, and Go
Gentle Joseki, Part I by Pieter Mioch the Patterns
User Manual for Smartgo 1
About Playing Hoshi Table of Contens
3-4, One-Space High Approach, Two-Space High Pincer Tsuke Nobi
Using Human Knowledge to Improve Opening Strategy in Computer Go
Guiding Monte Carlo Tree Searches with Neural Networks in the Game of Go
Guo Juan's Internet Go School
Top View
Computer Go and Monte Carlo Tree Search: Opening Book and Parallel Solutions
Sakata Eio, Honinbo-Judan
Monte-Carlo Tree Search and Rapid Action Value Estimation in Computer Go
Mining Expert Play to Guide Monte Carlo Search in the Opening Moves of Go
Improving MCTS and Neural Network Communication in Computer Go
The Game of Go: Speculations on Its Origins and Symbolism in Ancient China
Da 20K a 1D: Un Programma Di Studio Per Giocatori Di Go Amatoriali .Docx
Cognitive Approach to Computer Go Programming