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Asymptotically efficient allocation rules for the multiarmed bandit problem with multiple plays-Part II: Markovian rewards
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  • 2011Decentralized Online Learning Algorithms for Opportunistic Spectrum Access74 cited
  • 2000Finite-time lower bounds for the two-armed bandit problem73 cited
  • 2010Online algorithms for the multi-armed bandit problem with Markovian rewards59 cited
  • 2020Nonstationary Bandits with Habituation and Recovery Dynamics50 cited
  • 1995Machine learning and nonparametric bandit theory40 cited
  • 2012Regret Bounds for Restless Markov Bandits37 cited
  • 2019Multi-Armed Bandits: Theory and Applications to Online Learning in Networks35 cited
  • 2014Regret bounds for restless Markov bandits34 cited
  • 2012Decentralized learning for multi-player multi-armed bandits33 cited
  • 2011Logarithmic weak regret of non-Bayesian restless multi-armed bandit33 cited
  • 2008The Irrevocable Multi-Armed Bandit Problem30 cited
  • 2015Distributed Multi-Agent Online Learning Based on Global Feedback30 cited

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