We study four proofs that the Gittins index priority rule is optimal for alternative bandit processes. These include Gittins’ original exchange argument, Weber’s prevailing charge argument, Whittle’s Lagrangian dual approach, and Bertsimas and Niño-Mora’s proof based on the achievable region approach and generalized conservation laws. We extend the achievable region proof to infinite countable state spaces, by using infinite dimensional linear programming theory
Abstract—We consider two variants of the standard multi-armed bandit problem, namely, the multi-arme...
We study dynamic allocation problems for discrete time multi-armed bandits under uncertainty, based ...
A multi-armed Bandit Problem is considered such that at each decision epoch it is to be decided the ...
Includes bibliographical references (p. 5).Supported by the ARO. DAAL03-92-G-0115 Supported by Sieme...
We investigate the general multi-armed bandit problem with multiple servers. We determine a conditio...
Abstract. A variant of the multi-armed bandit problem was recently introduced by Dimitriu, Tetali an...
This note shows that the optimal choice of k simultaneous experiments in a stationary multi-armed ba...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
We give a new and comparably short proof of Gittins ’ index theorem for dynamic allocation problems ...
AbstractWe give a new and comparably short proof of Gittins’ index theorem for dynamic allocation pr...
Bandit processes and the Gittins index have provided powerful and elegant theory and tools for the o...
Multi-armed bandits may be viewed as decompositionally-structured Markov decision processes (MDP&apo...
We propose a novel theoretical characterization of the optimal “Gittins index ” policy in multi-arme...
This paper studies the class of denumerable-armed (i.e., finite- or countably infinite-armed) Bandit...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
Abstract—We consider two variants of the standard multi-armed bandit problem, namely, the multi-arme...
We study dynamic allocation problems for discrete time multi-armed bandits under uncertainty, based ...
A multi-armed Bandit Problem is considered such that at each decision epoch it is to be decided the ...
Includes bibliographical references (p. 5).Supported by the ARO. DAAL03-92-G-0115 Supported by Sieme...
We investigate the general multi-armed bandit problem with multiple servers. We determine a conditio...
Abstract. A variant of the multi-armed bandit problem was recently introduced by Dimitriu, Tetali an...
This note shows that the optimal choice of k simultaneous experiments in a stationary multi-armed ba...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
We give a new and comparably short proof of Gittins ’ index theorem for dynamic allocation problems ...
AbstractWe give a new and comparably short proof of Gittins’ index theorem for dynamic allocation pr...
Bandit processes and the Gittins index have provided powerful and elegant theory and tools for the o...
Multi-armed bandits may be viewed as decompositionally-structured Markov decision processes (MDP&apo...
We propose a novel theoretical characterization of the optimal “Gittins index ” policy in multi-arme...
This paper studies the class of denumerable-armed (i.e., finite- or countably infinite-armed) Bandit...
We generalise classical multiarmed bandits to allow for the distribution of a (fixed amount of a) di...
Abstract—We consider two variants of the standard multi-armed bandit problem, namely, the multi-arme...
We study dynamic allocation problems for discrete time multi-armed bandits under uncertainty, based ...
A multi-armed Bandit Problem is considered such that at each decision epoch it is to be decided the ...