Scalable photonic reinforcement learning by time-division multiplexing of laser chaos

Reinforcement learning involves decision-making in dynamic and uncertain environments and constitutes a crucial element of artificial intelligence. In our previous work, we experimentally demonstrated that the ultrafast chaotic oscillatory dynamics of lasers can be used to efficiently solve the two-...

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Detalles Bibliográficos
Autores principales: Naruse, Makoto, Mihana, Takatomo, Hori, Hirokazu, Saigo, Hayato, Okamura, Kazuya, Hasegawa, Mikio, Uchida, Atsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052166/
https://www.ncbi.nlm.nih.gov/pubmed/30022085
http://dx.doi.org/10.1038/s41598-018-29117-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6052166/
https://www.ncbi.nlm.nih.gov/pubmed/30022085
http://dx.doi.org/10.1038/s41598-018-29117-y

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