417 search results - page 23 / 84 » Reinforcement Learning Estimation of Distribution Algorithm |
100
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IWINAC
2007
Springer
15 years 8 months ago
2007
Springer
One of the key points in Estimation of Distribution Algorithms (EDAs) is the learning of the probabilistic graphical model used to guide the search: the richer the model the more ...
115
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TNN
1998
15 years 1 months ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
120
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AGI
2008
15 years 3 months ago
2008
A teaching methodology called Imitative-Reinforcement-Corrective (IRC) learning is described, and proposed as a general approach for teaching embodied non-linguistic AGI systems. I...
129
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CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
Traditional computer vision and machine learning algorithms have been largely studied in a centralized setting, where all the processing is performed at a single central location....
161
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JMLR
2012
13 years 4 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...