22 search results - page 4 / 5 » Contextual Multi-Armed Bandits |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
138
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AMAI
2011
Springer
13 years 9 months ago
2011
Springer
A multi-armed bandit episode consists of n trials, each allowing selection of one of K arms, resulting in payoff from a distribution over [0, 1] associated with that arm. We assum...
113
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JMLR
2012
13 years 15 hour 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...
105
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GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Adaptive Operator Selection (AOS) turns the impacts of the applications of variation operators into Operator Selection through a Credit Assignment mechanism. However, most Credit ...
SAC
2005
ACM
15 years 3 months ago
2005
ACM
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...