Ultrafast photonic reinforcement learning based on laser chaos

Abstract Reinforcement learning involves decision making in dynamic and uncertain environments and constitutes an important element of artificial intelligence (AI). In this work, we experimentally demonstrate that the ultrafast chaotic oscillatory dynamics of lasers efficiently solve the multi-armed...

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Auteurs principaux: Makoto Naruse, Yuta Terashima, Atsushi Uchida, Song-Ju Kim
Format: article
Langue:EN
Publié: Nature Portfolio 2017
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Accès en ligne:https://doaj.org/article/506a6a3704f44445ad9f4c41e8098dc9
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