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» Evolving Neural Networks to Focus Minimax Search
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AAAI
1994
13 years 5 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
GAMEON
2001
13 years 5 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
GECCO
2004
Springer
134views Optimization» more  GECCO 2004»
13 years 10 months ago
A Descriptive Encoding Language for Evolving Modular Neural Networks
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
Jae-Yoon Jung, James A. Reggia
ANNS
2010
12 years 11 months ago
Search Space Restriction of Neuro-evolution through Constrained Modularization of Neural Networks
Evolving recurrent neural networks for behavior control of robots equipped with larger sets of sensors and actuators is difficult due to the large search spaces that come with the ...
Christian W. Rempis, Frank Pasemann
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
13 years 9 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...