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» A Learning Architecture for the Game of Go
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GAMEON
2001
14 years 11 months ago
A Learning Architecture for the Game of Go
In this paper, a three-component architecture of a learning environment for Go is sketched, which can be applied to any two-player, deterministic, full information, partizan, comb...
A. B. Meijer
81
Voted
NIPS
1993
14 years 11 months ago
Temporal Difference Learning of Position Evaluation in the Game of Go
The game of Go has a high branching factor that defeats the tree search approach used in computer chess, and long-range spatiotemporal interactions that make position evaluation e...
Nicol N. Schraudolph, Peter Dayan, Terrence J. Sej...
ACG
2003
Springer
15 years 2 months ago
Evaluation in Go by a Neural Network using Soft Segmentation
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
Markus Enzenberger
GECCO
2004
Springer
15 years 3 months ago
Evolving a Roving Eye for Go
Go remains a challenge for artificial intelligence. Currently, most machine learning methods tackle Go by playing on a specific fixed board size, usually smaller than the standa...
Kenneth O. Stanley, Risto Miikkulainen
FLAIRS
2003
14 years 11 months ago
Learning Opening Strategy in the Game of Go
In this paper, we present an experimental methodology and results for a machine learning approach to learning opening strategy in the game of Go, a game for which the best compute...
Timothy Huang, Graeme Connell, Bryan McQuade