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...to exploit dependen- cies among arms in multi-armed bandit prob- lems, when the dependencies are in the form of...classical policies de- signed for bandits with independent arms....
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...this paper considers the multi-armed bandit problem with multiple simultaneous arm pulls and the additional restriction that we do not allow recourse to arms that were pulled at some...for a general class of multi-armed bandit problems, and also indicate its dependence on various problem parameters. finally, we obtain a...
Published in 2009.
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...in the multi-armed bandit problem, a gambler must decide which arm of k non-identical slot...between exploration (trying out each arm to find the best one) and exploitation (playing the arm believed to give the best...
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...that based on the best arm (which depends on the covariates) almost surely. 1. introduction. multi-armed bandit problems have been extensively studied in...clayton (1989) who considered one-armed bandit problems with covariates. the first two papers studied bayesian sequential allocation in non-bernoulli bandit models with parametric frameworks and showed that...
Published in 2001.
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...in the multi-armed bandit problem, a gambler must decide which arm of non-identical slot machines...between exploration (trying out each arm to find the best one) and exploitation (playing the arm believed to give the best...
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...the multi-armed bandit problem is a popular model for...expected regret for the bernoulli multi-armed bandit problem. more precisely, for the two-armed bernoulli bandit problem, the expected regret in time...
Published in 2011.
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...we consider a multi-armed bandit problem in a setting where each arm produces a noisy reward realization which depends on an observable random covariate. as opposed to the traditional static multi-armed bandit problem, this setting allows for dynamically...
Published in 2011.
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...in the multi-armed bandit problem, a gambler must decide which arm of non-identical slot machines...between exploration (trying out each arm to nd the best one) and exploitation (playing the arm believed to give the best...
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...experts. in the so called multi-armed bandit problem the forecaster has only information...la- bel efficient and the multi-armed bandit problem, where after choosing a decision...
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...we consider the classical multi-armed bandit problem with markovian rewards.
when played an arm changes its state in a...the player receives a state-dependent reward each time
it plays an arm. the number of states and the state transition probabilities of
an arm are unknown to the player...