Abstract. A variant of the multi-armed bandit problem was recently introduced by Dimitriu, Tetali and Winkler. For this model (and a mild generalization) we propose faster algorithms to compute the Gittins index. The indexability of such models follows from earlier work of Nash on generalized bandits. Key words. Multiarmed bandit problem, generalized bandit problem, stochastic scheduling, priority rule, Gittins index, game AMS subject classifications. 60J10, 66C99, 60G40, 90B35, 90C40 1. Introduction. Th
This paper addresses the multi-armed bandit problem with switching costs. Asawa and Teneketzis (1996...
Bandit processes and the Gittins index have provided powerful and elegant theory and tools for the o...
We give a new and comparably short proof of Gittins ’ index theorem for dynamic allocation problems ...
We investigate the general multi-armed bandit problem with multiple servers. We determine a conditio...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
We study four proofs that the Gittins index priority rule is optimal for alternative bandit processe...
Includes bibliographical references (p. 5).Supported by the ARO. DAAL03-92-G-0115 Supported by Sieme...
This note shows that the optimal choice of k simultaneous experiments in a stationary multi-armed ba...
A multi-armed bandit problem classically concerns N >= 2 populations of rewards whose statistical pr...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
In 1988 Whittle introduced an important but intractable class of restless bandit problems which gene...
This paper addresses the multi-armed bandit problem with switching penalties including both costs an...
In the 1970’s John Gittins discovered that multi-armed bandits, an important class of models for the...
In the 1970’s John Gittins discovered that multi-armed bandits, an important class of models for the...
This article considers an important class of discrete time restless bandits, given by the discounted...
This paper addresses the multi-armed bandit problem with switching costs. Asawa and Teneketzis (1996...
Bandit processes and the Gittins index have provided powerful and elegant theory and tools for the o...
We give a new and comparably short proof of Gittins ’ index theorem for dynamic allocation problems ...
We investigate the general multi-armed bandit problem with multiple servers. We determine a conditio...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
We study four proofs that the Gittins index priority rule is optimal for alternative bandit processe...
Includes bibliographical references (p. 5).Supported by the ARO. DAAL03-92-G-0115 Supported by Sieme...
This note shows that the optimal choice of k simultaneous experiments in a stationary multi-armed ba...
A multi-armed bandit problem classically concerns N >= 2 populations of rewards whose statistical pr...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
In 1988 Whittle introduced an important but intractable class of restless bandit problems which gene...
This paper addresses the multi-armed bandit problem with switching penalties including both costs an...
In the 1970’s John Gittins discovered that multi-armed bandits, an important class of models for the...
In the 1970’s John Gittins discovered that multi-armed bandits, an important class of models for the...
This article considers an important class of discrete time restless bandits, given by the discounted...
This paper addresses the multi-armed bandit problem with switching costs. Asawa and Teneketzis (1996...
Bandit processes and the Gittins index have provided powerful and elegant theory and tools for the o...
We give a new and comparably short proof of Gittins ’ index theorem for dynamic allocation problems ...