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» Learning Recursive Control Programs from Problem Solving
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132
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ATAL
2005
Springer
15 years 6 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
103
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CCS
2004
ACM
15 years 5 months ago
Lessons learned using alloy to formally specify MLS-PCA trusted security architecture
In order to solve future Multi Level Security (MLS) problems, we have developed a solution based on the DARPA Polymorphous Computing Architecture (PCA). MLS-PCA uses a novel distr...
Brant Hashii
97
Voted
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 1 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
114
Voted
BMCBI
2007
135views more  BMCBI 2007»
15 years 18 days ago
Detecting multivariate differentially expressed genes
Background: Gene expression is governed by complex networks, and differences in expression patterns between distinct biological conditions may therefore be complex and multivariat...
Roland Nilsson, José M. Peña, Johan ...
PLDI
2010
ACM
15 years 5 months ago
Smooth interpretation
We present smooth interpretation, a method to systematically approximate numerical imperative programs by smooth mathematical functions. This approximation facilitates the use of ...
Swarat Chaudhuri, Armando Solar-Lezama