Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEOPR > 2022 > CThP13D > CThP13D_05

Application for Decision Making by Controlling Chaotic Mode Competition Dynamics in Multi-Mode Semiconductor Laser

Ryugo Iwami, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, and Atsushi Uchida

Not Accessible

Your library or personal account may give you access

Abstract

We numerically demonstrate decision making for solving the multi-armed bandit problem by controlling chaotic mode competition dynamics in a multi-mode semiconductor laser. The proposed method is effective when the number of slot machines is large.

© 2022 IEEE

PDF Article
More Like This
Experiment on Decision Making for Multi-Armed Bandit Problem Using Chaos and Low Frequency Fluctuations in Laser Network

Keigo Sasaki, Takatomo Mihana, Kazutaka Kanno, Makoto Naruse, and Atsushi Uchida
CThP13D_04 Conference on Lasers and Electro-Optics/Pacific Rim (CLEO/PR) 2022

Decision making using lag synchronization of chaos in mutually-coupled semiconductor lasers

Takatomo Mihana, Yusuke Mitsui, Mizuho Takabayashi, Kazutaka Kanno, Makoto Naruse, and Atsushi Uchida
JW4A.104 Frontiers in Optics (FiO) 2019

Photonic Artificial Intelligence Using Complex Photonics: Reservoir Computing and Decision Making

Atsushi Uchida
S3D.1 Optoelectronics and Communications Conference (OECC) 2021

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use