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Normal Bandits of Unknown Means and Variances: Asymptotic Optimality,
  Finite Horizon Regret Bounds, and a Solution to an Open Problem

Normal Bandits of Unknown Means and Variances: Asymptotic Optimality, Finite Horizon Regret Bounds, and a Solution to an Open Problem

22 April 2015
Wesley Cowan
Junya Honda
M. Katehakis
ArXivPDFHTML

Papers citing "Normal Bandits of Unknown Means and Variances: Asymptotic Optimality, Finite Horizon Regret Bounds, and a Solution to an Open Problem"

5 / 5 papers shown
Title
Information Directed Sampling and Bandits with Heteroscedastic Noise
Information Directed Sampling and Bandits with Heteroscedastic Noise
Johannes Kirschner
Andreas Krause
24
122
0
29 Jan 2018
Asymptotically Optimal Sequential Experimentation Under Generalized
  Ranking
Asymptotically Optimal Sequential Experimentation Under Generalized Ranking
Wesley Cowan
M. Katehakis
OffRL
27
11
0
07 Oct 2015
Asymptotically Optimal Multi-Armed Bandit Policies under a Cost
  Constraint
Asymptotically Optimal Multi-Armed Bandit Policies under a Cost Constraint
A. Burnetas
Odysseas Kanavetas
M. Katehakis
14
15
0
09 Sep 2015
Asymptotic Behavior of Minimal-Exploration Allocation Policies: Almost
  Sure, Arbitrarily Slow Growing Regret
Asymptotic Behavior of Minimal-Exploration Allocation Policies: Almost Sure, Arbitrarily Slow Growing Regret
Wesley Cowan
M. Katehakis
35
14
0
12 May 2015
An Asymptotically Optimal Policy for Uniform Bandits of Unknown Support
An Asymptotically Optimal Policy for Uniform Bandits of Unknown Support
Wesley Cowan
M. Katehakis
29
27
0
08 May 2015
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