Adapting bandit algorithms for settings with sequentially available arms-Reference-Cited by-同舟云学术

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Adapting bandit algorithms for settings with sequentially available arms

Published:2024-05 Issue: Volume:131 Page:107815
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gabrielli Marco^ORCID,Antonelli Manuela^ORCID,Trovò Francesco

Publisher

Elsevier BV

Reference41 articles.

1. Improved algorithms for linear stochastic bandits;Abbasi-Yadkori,2011

2. Further optimal regret bounds for thompson sampling;Agrawal,2013

3. Best arm identification in multi-armed bandits;Audibert,2010

4. Finite-time analysis of the multiarmed bandit problem;Auer;Mach. Learn.,2002

5. UCB revisited: Improved regret bounds for the stochastic multi-armed bandit problem;Auer;Period. Math. Hungar.,2010

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1. On the capacity of artificial intelligence techniques and statistical methods to deal with low-quality data in medical supply chain environments;Engineering Applications of Artificial Intelligence;2024-07

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