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- W2023353151 abstract "We consider a class of restless multi-armed bandit (RMAB) problems, in which the active action resets the stochastic evolution of the system. We obtain the Whittle index in closed-form, showing that it induces a policy that is equivalent to the myopic policy, and that it is optimal for stochastically identical arms. These results find applications in opportunistic spectrum access and supervisory control systems such as anomaly detection and control." @default.
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- W2023353151 date "2011-12-01" @default.
- W2023353151 modified "2023-09-27" @default.
- W2023353151 title "Indexability and whittle index for restless bandit problems involving reset processes" @default.
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- W2023353151 doi "https://doi.org/10.1109/cdc.2011.6160533" @default.
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