Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms - Centre de recherche en économie et statistique (CREST)
Article Dans Une Revue ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Année : 2024

Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms

Résumé

In the strategic multi-armed bandit setting, when arms possess perfect information about the player's behavior, they can establish an equilibrium where: 1. they retain almost all of their value, 2. they leave the player with a substantial (linear) regret. This study illustrates that, even if complete information is not publicly available to all arms but is shared among them, it is possible to achieve a similar equilibrium. The primary challenge lies in designing a communication protocol that incentivizes the arms to communicate truthfully.
Fichier principal
Vignette du fichier
Strategic_Arms_With_Side_Communication.pdf (316.85 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04669024 , version 1 (29-08-2024)

Licence

Copyright (Tous droits réservés)

Identifiants

Citer

Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet. Strategic Arms with Side Communication Prevail Over Low-Regret MAB Algorithms. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024, pp.7435-7439. ⟨10.1109/ICASSP48485.2024.10446895⟩. ⟨hal-04669024⟩
120 Consultations
18 Téléchargements

Altmetric

Partager

More