A Survey on Multi-Player Bandits

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.

Cite

Text

Boursier and Perchet. "A Survey on Multi-Player Bandits." Journal of Machine Learning Research, 2024.

Markdown

[Boursier and Perchet. "A Survey on Multi-Player Bandits." Journal of Machine Learning Research, 2024.](https://mlanthology.org/jmlr/2024/boursier2024jmlr-survey/)

BibTeX

@article{boursier2024jmlr-survey,
  title     = {{A Survey on Multi-Player Bandits}},
  author    = {Boursier, Etienne and Perchet, Vianney},
  journal   = {Journal of Machine Learning Research},
  year      = {2024},
  pages     = {1-45},
  volume    = {25},
  url       = {https://mlanthology.org/jmlr/2024/boursier2024jmlr-survey/}
}