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» Evolution of Embodied Intelligence
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 10 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
CEC
2010
IEEE
13 years 9 months ago
Crossover and the different faces of differential evolution searches
—Common explanations of DE’s search behaviour as its crossover rate Cr is varied focus on the directionality of the search, as low values make moves aligned with a small number...
James Montgomery
CEC
2010
IEEE
13 years 26 days ago
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
Tony E. Lewis, George D. Magoulas
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
13 years 21 days ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
ATAL
2006
Springer
14 years 1 months ago
Efficient agent-based models for non-genomic evolution
Modeling dynamical systems composed of aggregations of primitive proteins is critical to the field of astrobiological science, which studies early evolutionary structures dealing ...
Nachi Gupta, Adrian K. Agogino, Kagan Tumer