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122
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ECML
2005
Springer
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Machine Learning
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ECML 2005
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Multi-armed Bandit Algorithms and Empirical Evaluation
15 years 9 months ago
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www.cs.nyu.edu
The multi-armed bandit problem for a gambler is to decide which arm of a K-slot machine to pull to maximize his total reward in a series of trials. Many real-world learning and opt...
Joannès Vermorel, Mehryar Mohri
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