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Multi-armed bandit with sub-exponential rewards

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Publication:2060366
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DOI10.1016/j.orl.2021.08.004OpenAlexW3195308870WikidataQ115568192 ScholiaQ115568192MaRDI QIDQ2060366

Siqian Shen, Huiwen Jia, Cong Shi

Publication date: 13 December 2021

Published in: Operations Research Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.orl.2021.08.004


zbMATH Keywords

multi-armed banditupper confidence boundunbounded rewardsub-exponential reward


Mathematics Subject Classification ID

Operations research, mathematical programming (90-XX)




Cites Work

  • Unnamed Item
  • Unnamed Item
  • Inventory rebalancing and vehicle routing in bike sharing systems
  • Pricing of reusable resources under ambiguous distributions of demand and service time with emerging applications
  • An Introduction to Heavy-Tailed and Subexponential Distributions
  • Online Learning and Online Convex Optimization
  • Bandit Algorithms
  • Introduction to Multi-Armed Bandits
  • Learning to Optimize via Posterior Sampling
  • Bandits With Heavy Tail
  • Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
  • Some aspects of the sequential design of experiments


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