Sciweavers

1800 search results - page 92 / 360
» Learning Restart Strategies
Sort
View
EWRL
2008
15 years 6 months ago
Variable Metric Reinforcement Learning Methods Applied to the Noisy Mountain Car Problem
Two variable metric reinforcement learning methods, the natural actor-critic algorithm and the covariance matrix adaptation evolution strategy, are compared on a conceptual level a...
Verena Heidrich-Meisner, Christian Igel
COLING
2008
15 years 6 months ago
Scaling up Analogical Learning
Recent years have witnessed a growing interest in analogical learning for NLP applications. If the principle of analogical learning is quite simple, it does involve complex steps ...
Philippe Langlais, François Yvon
ICML
2009
IEEE
16 years 5 months ago
Curriculum learning
Humans and animals learn much better when the examples are not randomly presented but organized in a meaningful order which illustrates gradually more concepts, and gradually more ...
Jérôme Louradour, Jason Weston, Ronan...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 9 months ago
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed
Derandomization by means of mirrored samples has been recently introduced to enhance the performances of (1, λ)and (1 + 2)-Evolution-Strategies (ESs) with the aim of designing fa...
Anne Auger, Dimo Brockhoff, Nikolaus Hansen
GECCO
2010
Springer
237views Optimization» more  GECCO 2010»
15 years 9 months ago
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed
The well-known Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is a robust stochastic search algorithm for optimizing functions defined on a continuous search space RD ....
Anne Auger, Dimo Brockhoff, Nikolaus Hansen