Solving multi-armed bandit problems using a chaotic microresonator comb

The Multi-Armed Bandit (MAB) problem, foundational to reinforcement learning-based decision-making, addresses the challenge of maximizing rewards amid multiple uncertain choices. While algorithmic solutions are effective, their computational efficiency diminishes with increasing problem complexity....

Full description

Bibliographic Details
Main Authors: Jonathan Cuevas, Ryugo Iwami, Atsushi Uchida, Kaoru Minoshima, Naoya Kuse
Format: Article
Language:English
Published: AIP Publishing LLC 2024-03-01
Series:APL Photonics
Online Access:http://dx.doi.org/10.1063/5.0173287