Skip to main navigation Skip to search Skip to main content

A Survey on Multi-player Bandits

  • Université Paris-Saclay
  • ENSAE
  • ENSAE & Criteo AI Lab.

Research output: Contribution to journalArticlepeer-review

Abstract

Due mostly to its application to cognitive radio networks, multiplayer bandits gained a lot of interest in the last decade. A considerable progress has been made on its theoretical aspect. However, the current algorithms are far from applicable and many obstacles remain between these theoretical results and a possible implementation of multiplayer bandits algorithms in real communication networks. This survey contextualizes and organizes the rich multiplayer bandits literature. In light of the existing works, some clear directions for future research appear. We believe that a further study of these different directions might lead to theoretical algorithms adapted to real-world situations.

Original languageEnglish
JournalJournal of Machine Learning Research
Volume25
Publication statusPublished - 1 Jan 2024
Externally publishedYes

Keywords

  • Cognitive radio
  • Decentralized learning
  • Multi-armed bandits
  • Multiplayer bandits
  • Opportunistic Spectrum Access

Fingerprint

Dive into the research topics of 'A Survey on Multi-player Bandits'. Together they form a unique fingerprint.

Cite this