<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Burnetas, AN</style></author><author><style face="normal" font="default" size="100%">Katehakis, M.N.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Asymptotic bayes analysis for the finite-horizon one-armed-bandit problem</style></title><secondary-title><style face="normal" font="default" size="100%">Probability in the Engineering and Informational Sciences</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://www.scopus.com/inward/record.uri?eid=2-s2.0-0037249547&amp;doi=10.1017%2fS0269964803171045&amp;partnerID=40&amp;md5=7fda41611365aff4704ce2e85c375c59</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">53-82</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The multiarmed-bandit problem is often taken as a basic model for the trade-off between the exploration and utilization required for efficient optimization under uncertainty. In this article, we study the situation in which the unknown performance of a new bandit is to be evaluated and compared with that of a known one over a finite horizon. We assume that the bandits represent random variables with distributions from the one-parameter exponential family. When the objective is to maximize the Bayes expected sum of outcomes over a finite horizon, it is shown that optimal policies tend to simple limits when the length of the horizon is large.</style></abstract><notes><style face="normal" font="default" size="100%">cited By 3</style></notes></record></records></xml>