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