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» Iterative Learning Control - Monotonicity and Optimization
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115
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ATAL
2010
Springer
15 years 3 months ago
Cultivating desired behaviour: policy teaching via environment-dynamics tweaks
In this paper we study, for the first time explicitly, the implications of endowing an interested party (i.e. a teacher) with the ability to modify the underlying dynamics of the ...
Zinovi Rabinovich, Lachlan Dufton, Kate Larson, Ni...
152
Voted
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 8 months ago
Observing the swarm behaviour during its evolutionary design
Evolutionary Algorithms (EAs) can be used for designing Particle Swarm Optimization (PSO) algorithms that work, in some cases, considerably better than the human-designed ones. By...
Laura Diosan, Mihai Oltean
132
Voted
GECCO
2010
Springer
173views Optimization» more  GECCO 2010»
15 years 6 months ago
The baldwin effect in developing neural networks
The Baldwin Effect is a very plausible, but unproven, biological theory concerning the power of learning to accelerate evolution. Simple computational models in the 1980’s gave...
Keith L. Downing
ICML
2004
IEEE
16 years 3 months ago
Generalized low rank approximations of matrices
The problem of computing low rank approximations of matrices is considered. The novel aspect of our approach is that the low rank approximations are on a collection of matrices. W...
Jieping Ye
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
15 years 6 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan