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» Multi-armed bandit problems with dependent arms
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CORR
2008
Springer
136views Education» more  CORR 2008»
14 years 11 months ago
Multi-Armed Bandits in Metric Spaces
In a multi-armed bandit problem, an online algorithm chooses from a set of strategies in a sequence of n trials so as to maximize the total payoff of the chosen strategies. While ...
Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
NIPS
2008
15 years 28 days ago
Mortal Multi-Armed Bandits
We formulate and study a new variant of the k-armed bandit problem, motivated by e-commerce applications. In our model, arms have (stochastic) lifetime after which they expire. In...
Deepayan Chakrabarti, Ravi Kumar, Filip Radlinski,...
CORR
2010
Springer
187views Education» more  CORR 2010»
14 years 11 months ago
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of ...
Haoyang Liu, Keqin Liu, Qing Zhao
CORR
2010
Springer
127views Education» more  CORR 2010»
14 years 11 months ago
Online Algorithms for the Multi-Armed Bandit Problem with Markovian Rewards
We consider the classical multi-armed bandit problem with Markovian rewards. When played an arm changes its state in a Markovian fashion while it remains frozen when not played. Th...
Cem Tekin, Mingyan Liu
CORR
2006
Springer
83views Education» more  CORR 2006»
14 years 11 months ago
How to Beat the Adaptive Multi-Armed Bandit
The multi-armed bandit is a concise model for the problem of iterated decision-making under uncertainty. In each round, a gambler must pull one of K arms of a slot machine, withou...
Varsha Dani, Thomas P. Hayes