Gorthaur-EXP3: bandit-based selection from a portfolio of recommendation algorithms balancing the accuracy-diversity dilemma

DOI10.1016/j.ins.2020.08.106zbMath1475.68374OpenAlexW3082976567MaRDI QIDQ2055544

Olivier Camp, Fabien Chhel, Nicolas Gutowski, Tassadit Amghar

Publication date: 1 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.106

zbMATH Keywords

multi-armed banditrecommendation systemsapplication of reinforcement learningcontextual multi-armed banditportfolio approach

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Stopping times; optimal stopping problems; gambling theory (60G40) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (1)

Multi-armed linear bandits with latent biases

Uses Software

• SATzilla

Cites Work

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• Analyzing bandit-based adaptive operator selection mechanisms
• Learning dynamic algorithm portfolios
• Simple explanation of the no-free-lunch theorem and its implications
• Multi-objective Contextual Multi-armed Bandit With a Dominant Objective
• The Nonstochastic Multiarmed Bandit Problem
• 10.1162/153244303321897663
• Algorithm Selection for Combinatorial Search Problems: A Survey
• Some aspects of the sequential design of experiments

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