22 search results - page 4 / 5 » Contextual Multi-Armed Bandits |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
AMAI
2011
Springer
12 years 5 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...
JMLR
2012
11 years 8 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...
GECCO
2010
Springer
13 years 10 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
13 years 11 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...