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Bayesian bandits: balancing the exploration-exploitation tradeoff via
  double sampling

Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling

10 September 2017
Iñigo Urteaga
C. Wiggins
ArXivPDFHTML

Papers citing "Bayesian bandits: balancing the exploration-exploitation tradeoff via double sampling"

7 / 7 papers shown
Title
An Information-Theoretic Analysis of Thompson Sampling
An Information-Theoretic Analysis of Thompson Sampling
Daniel Russo
Benjamin Van Roy
153
425
0
21 Mar 2014
Thompson Sampling for 1-Dimensional Exponential Family Bandits
Thompson Sampling for 1-Dimensional Exponential Family Bandits
N. Korda
E. Kaufmann
Rémi Munos
71
155
0
12 Jul 2013
Learning to Optimize Via Posterior Sampling
Learning to Optimize Via Posterior Sampling
Daniel Russo
Benjamin Van Roy
195
701
0
11 Jan 2013
Further Optimal Regret Bounds for Thompson Sampling
Further Optimal Regret Bounds for Thompson Sampling
Shipra Agrawal
Navin Goyal
107
442
0
15 Sep 2012
Thompson Sampling for Contextual Bandits with Linear Payoffs
Thompson Sampling for Contextual Bandits with Linear Payoffs
Shipra Agrawal
Navin Goyal
195
1,000
0
15 Sep 2012
A Finite-Time Analysis of Multi-armed Bandits Problems with
  Kullback-Leibler Divergences
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences
Odalric-Ambrym Maillard
Rémi Munos
Gilles Stoltz
90
146
0
29 May 2011
A Contextual-Bandit Approach to Personalized News Article Recommendation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li
Wei Chu
John Langford
Robert Schapire
459
2,951
0
28 Feb 2010
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