A survey on multi-player bandits

11/29/2022
by   Etienne Boursier, et al.
0

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 cognitive radio 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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/07/2017

Multi-Player Bandits Models Revisited

Multi-player Multi-Armed Bandits (MAB) have been extensively studied in ...
research
03/21/2021

UCB-based Algorithms for Multinomial Logistic Regression Bandits

Out of the rich family of generalized linear bandits, perhaps the most w...
research
08/29/2018

A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study

Efficient utility of radio spectrum has been a hot topic as the wireless...
research
02/21/2019

Multi-Player Bandits: The Adversarial Case

We consider a setting where multiple players sequentially choose among a...
research
08/31/2013

Artificial Intelligence Based Cognitive Routing for Cognitive Radio Networks

Cognitive radio networks (CRNs) are networks of nodes equipped with cogn...
research
02/19/2021

A High Performance, Low Complexity Algorithm for Multi-Player Bandits Without Collision Sensing Information

Motivated by applications in cognitive radio networks, we consider the d...
research
04/23/2020

Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond

Random features is one of the most sought-after research topics in stati...

Please sign up or login with your details

Forgot password? Click here to reset