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» Evolving Neural Networks to Play Go
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ICGA
1997
85views Optimization» more  ICGA 1997»
13 years 6 months ago
Evolving Neural Networks to Play Go
Norman Richards, David E. Moriarty, Paul McQuesten...
GECCO
2004
Springer
13 years 10 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
CIG
2005
IEEE
13 years 10 months ago
Evolving a Neural Network Location Evaluator to Play Ms. Pac-Man
Ms. Pac-Man is a challenging, classic arcade game with a certain cult status. This paper reports attempts to evolve a Pac-Man player, where the control algorithm uses a neural net...
Simon M. Lucas
GAMEON
2001
13 years 6 months ago
A New Computational Approach to the Game of Go
This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft...
Julian Churchill, Richard Cant, David Al-Dabass
ACG
2003
Springer
13 years 10 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