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» Robust Evolution Strategies
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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
GECCO
2007
Springer
130views Optimization» more  GECCO 2007»
14 years 2 months ago
DCMA: yet another derandomization in covariance-matrix-adaptation
In a preliminary part of this paper, we analyze the necessity of randomness in evolution strategies. We conclude to the necessity of ”continuous”-randomness, but with a much m...
Olivier Teytaud, Sylvain Gelly