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20142026
most citedA Neural Networks Committee for the Contextual Bandit Problem

10 citations · 14 across the 10 of their papers we have counts for

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Showing 2015Show all

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cs.LG2015

Multi-armed Bandit Problem with Known Trend

Djallel Bouneffouf, Raphaël Feraud

We consider a variant of the multi-armed bandit model, which we call multi-armed bandit problem with known trend, where the gambler knows the shape of the reward function of each a…

cs.LG2015

Random Forest for the Contextual Bandit Problem - extended version

Raphaël Féraud, Robin Allesiardo, Tanguy Urvoy +1

To address the contextual bandit problem, we propose an online random forest algorithm. The analysis of the proposed algorithm is based on the sample complexity needed to find the…