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Tuning Bandit Algorithms in Stochastic Environments · Study

WorkTuning Bandit Algorithms in Stochastic Environments

Jean-Yves Audibert2007

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Workgreen2007

Tuning Bandit Algorithms in Stochastic Environments

Jean-Yves Audibert · Rémi Munos · Csaba Szepesvári

158 citations·0/0 files stored·Lecture notes in computer science

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Advanced Bandit Algorithms Research Reinforcement Learning in Robotics Optimization and Search Problems

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References

2002Finite-time Analysis of the Multiarmed Bandit Problem 1952Some aspects of the sequential design of experiments 1990Multi-Armed Bandit Allocation Indices.1995Sample mean based index policies byO(logn) regret for the multi-armed bandit problem

Cited by

2010Solving two‐armed Bernoulli bandit problems using a Bayesian learning automaton 2014Sequential Learning for Multi-Channel Wireless Network Monitoring With Channel Switching Costs 2012Leveraging Side Observations in Stochastic Bandits 2011Multi-Bandit Best Arm Identification 2011Sequential learning for optimal monitoring of multi-channel wireless networks 2012Multi-armed Bandit Problems with History 2018Corruption-tolerant bandit learning

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Details

Year2007

Typeother

Published2007-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations158

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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doi10.1007/978-3-540-75225-7_15

openalex_workW1583155004

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