1 Hit in 1.8 sec

GuideBoot: Guided Bootstrap for Deep Contextual Bandits [article]

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
<span title="2021-07-18">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this paper, we introduce Guided Bootstrap (GuideBoot for short), combining the best of both worlds.  ...  The exploration/exploitation (E&E) dilemma lies at the core of interactive systems such as online advertising, for which contextual bandit algorithms have been proposed.  ...  In this paper, we propose a novel contextual bandit algorithm named Guided Bootstrap (GuideBoot for short), which combines the best of both Bayesian and non-Bayesian methods.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">arXiv:2107.08383v1</a> <a target="_blank" rel="external noopener" href="">fatcat:b35gbanfejhexma2qylbgdftma</a> </span>
<a target="_blank" rel="noopener" href="" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="" title=" access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> </button> </a>