Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Create a new EntitySchema
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

A revised approach for risk-averse multi-armed bandits under CVaR criterion

From MaRDI portal
Publication:2060576
Jump to:navigation, search

DOI10.1016/j.orl.2021.05.005OpenAlexW3160157623MaRDI QIDQ2060576

Yilin Xue, Najakorn Khajonchotpanya, Napat Rujeerapaiboon

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.2021.05.005


zbMATH Keywords

conditional value-at-riskregret analysisonline learning and bandits


Mathematics Subject Classification ID

Computer science (68-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)




Cites Work

  • Unnamed Item
  • Unnamed Item
  • Multi-armed bandit models for the optimal design of clinical trials: benefits and challenges
  • The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
  • Asymptotically efficient adaptive allocation rules
  • Large deviations bounds for estimating conditional value-at-risk
  • Dynamic Assortment with Demand Learning for Seasonal Consumer Goods
  • Sample mean based index policies by O(log n) regret for the multi-armed bandit problem
  • Probability Inequalities for Sums of Bounded Random Variables
  • Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems
  • Finite-time analysis of the multiarmed bandit problem
Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:2060576&oldid=14541875"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 1 February 2024, at 21:08.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki