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» Efficient natural evolution strategies
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ESANN
2008
13 years 7 months ago
Similarities and differences between policy gradient methods and evolution strategies
Natural policy gradient methods and the covariance matrix adaptation evolution strategy, two variable metric methods proposed for solving reinforcement learning tasks, are contrast...
Verena Heidrich-Meisner, Christian Igel
FLOPS
2004
Springer
13 years 9 months ago
Implementing Natural Rewriting and Narrowing Efficiently
Abstract. Outermost-needed rewriting/narrowing is a sound and complete optimal demand-driven strategy for the class of inductively sequential constructor systems. Its parallel exte...
Santiago Escobar
GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
13 years 6 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
IWINAC
2007
Springer
13 years 12 months ago
Gaining Insights into Laser Pulse Shaping by Evolution Strategies
Abstract. We consider the numerical evolutionary optimization of dynamic molecular alignment by shaped femtosecond laser pulses. We study a simplified model of this quantum contro...
Ofer M. Shir, Joost N. Kok, Thomas Bäck, Marc...
GECCO
2006
Springer
146views Optimization» more  GECCO 2006»
13 years 9 months ago
The dispersion metric and the CMA evolution strategy
An algorithm independent metric is introduced that measures the dispersion of a uniform random sample drawn from the top ranked percentiles of the search space. A low dispersion f...
Monte Lunacek, Darrell Whitley