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Computer Go
CSC321 Lecture 23: Go
Residual Networks for Computer Go Tristan Cazenave
Achieving Master Level Play in 9X9 Computer Go
Computer Go: from the Beginnings to Alphago Martin Müller, University of Alberta
Reinforcement Learning of Local Shape in the Game of Go
Weiqi, Baduk): a Beautiful Game
Learning to Play the Game of Go
Human Vs. Computer Go: Review and Prospect
Computer Go: an AI Oriented Survey
Strategic Choices: Small Budgets and Simple Regret Cheng-Wei Chou, Ping-Chiang Chou, Chang-Shing Lee, David L
Move Prediction in the Game of Go
Mastering the Game of Go Without Human Knowledge
Search Versus Knowledge for Solving Life and Death Problems in Go
On Competency of Go Players: a Computational Approach
By Arend Bayer, Daniel Bump, Evan Berggren Daniel, David Denholm
Mathematical Modeling and Analysis of Learning Techniques for the Game of Go
Improved Policy Networks for Computer Go Tristan Cazenave
Adaptive Neural Network Usage in Computer Go
Top View
Mastering the Game of Go with Deep Neural Networks and Tree Search
Position Evaluation in Computer Go
User Manual for Smartgo 1
Bayesian Learning of Generalized Board Positions for Improved Move Prediction in Computer Go
Go and Mathematics Leon
The Game Is Not Over Yet—Go in the Post-Alphago Era
Improved Architectures for Computer Go
Old-Fashioned Computer Go Vs Monte-Carlo Go
A Machine Learning to Play Go TUM Data Innovation Lab WS 2017/18
A Machine Learning Playing Go Utilizing Neural Networks to Generate an Artificially Intelligent Go Program Without Tree Search
Contributions to Monte-Carlo Search
Go Game Formal Revealing by Ising Model
Studies in Human and Computer Go: Assessing the Game of Go As a Research Domain for Cognitive Science
AI Techniques for the Game of Go
Optical Game Position Recognition in the Board Game of Go
Unraveling Go Gaming Nature by Ising Hamiltonian and Common Fate Graphs: Tactics and Statistics
How the Computer Beat the Go Player
Appendix II: 2011 Super Computer Go: Shih
Go Complexities Abdallah Saffidine, Olivier Teytaud, Shi-Jim Yen
Deep Learning in Chemistry and Computer-Go
Multi-Labelled Value Networks for Computer Go
Depth, Balancing, and Limits of the Elo Model
From Deep Blue to Deepmind: What Alphago Tells Us
A Static Method for Computing the Score of a Go Game
Mastering the Game of Go with Deep Neural Networks and Tree Search