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ML
1998
ACM
136views Machine Learning» more  ML 1998»
13 years 8 months ago
Co-Evolution in the Successful Learning of Backgammon Strategy
Following Tesauro’s work on TD-Gammon, we used a 4000 parameter feed-forward neural network to develop a competitive backgammon evaluation function. Play proceeds by a roll of t...
Jordan B. Pollack, Alan D. Blair
NC
2002
154views Neural Networks» more  NC 2002»
13 years 8 months ago
Evolution strategies - A comprehensive introduction
Hans-Georg Beyer, Hans-Paul Schwefel
ICES
2010
Springer
148views Hardware» more  ICES 2010»
13 years 6 months ago
An Efficient Selection Strategy for Digital Circuit Evolution
In this paper, we propose a new modification of Cartesian Genetic Programming (CGP) that enables to optimize digital circuits more significantly than standard CGP. We argue that co...
Zbysek Gajda, Lukás Sekanina