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https://doi.org/10.48550/arxiv...
Article . 2013
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem

Authors: Zoghi, M.; Whiteson, S.; Munos, R.; de Rijke, M.;

Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem

Abstract

This paper proposes a new method for the K-armed dueling bandit problem, a variation on the regular K-armed bandit problem that offers only relative feedback about pairs of arms. Our approach extends the Upper Confidence Bound algorithm to the relative setting by using estimates of the pairwise probabilities to select a promising arm and applying Upper Confidence Bound with the winner as a benchmark. We prove a finite-time regret bound of order O(log t). In addition, our empirical results using real data from an information retrieval application show that it greatly outperforms the state of the art.

Comment: 13 pages, 6 figures

Country
Netherlands
Keywords

FOS: Computer and information sciences, Computer Science - Learning, Machine Learning (cs.LG)

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Funded byView all
NWO| SPuDisc: Searching Public Discourse
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 027.012.105
,
NWO| Semantic Search in E-Discovery
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 727.011.005
iis
,
NWO| Building Rich Links to Enable Television History Research
Project
  • Funder: Netherlands Organisation for Scientific Research (NWO) (NWO)
  • Project Code: 640.004.802
iis
,
EC| COMPLACS
Project
COMPLACS
Composing Learning for Artificial Cognitive Systems
  • Funder: European Commission (EC)
  • Project Code: 270327
  • Funding stream: FP7 | SP1 | ICT
iis
Related to Research communities
Digital Humanities and Cultural Heritage DH-CH communities : CLARIN
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