417 search results - page 23 / 84 » Reinforcement Learning Estimation of Distribution Algorithm |
114
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IWINAC
2007
Springer
15 years 10 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 ...
140
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TNN
1998
15 years 3 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’...
136
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AGI
2008
15 years 5 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...
151
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CVPR
2011
IEEE
15 years 6 days 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....
177
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JMLR
2012
13 years 6 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...