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‘A modern Bayesian look at the multi-armed bandit’ by Steven L. Scott: Discussion

✍ Scribed by Deepak K. Agarwal

Publisher: John Wiley and Sons
Year: 2010
Tongue: English
Weight: 68 KB
Volume: 26
Category: Article
ISSN: 1524-1904
DOI: 10.1002/asmb.872

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## Abstract A multi‐armed bandit is an experiment with the goal of accumulating rewards from a payoff distribution with unknown parameters that are to be learned sequentially. This article describes a heuristic for managing multi‐armed bandits called __randomized probability matching__, which rando