<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Confidence Bound Target Algorithm</dc:title>
  <dc:title>R package CBT version 1.0</dc:title>
  <dc:description>The Confidence Bound Target (CBT) algorithm is designed for infinite arms bandit problem. It is shown that CBT algorithm achieves the regret lower bound for general reward distributions. Reference: Hock Peng Chan and Shouri Hu (2018) &lt;arXiv:1805.11793&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:creator>Shouri Hu &lt;e0054325@u.nus.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Hock Peng Chan and Shouri Hu</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2018-05-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=CBT</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.CBT</dc:identifier>
</oai_dc:dc>