Cargando…
Ultrafast photonic reinforcement learning based on laser chaos
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 bandit p...
Autores principales: | Naruse, Makoto, Terashima, Yuta, Uchida, Atsushi, Kim, Song-Ju |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5562742/ https://www.ncbi.nlm.nih.gov/pubmed/28821739 http://dx.doi.org/10.1038/s41598-017-08585-8 |
Ejemplares similares
-
Author Correction: Ultrafast photonic reinforcement learning based on laser chaos
por: Naruse, Makoto, et al.
Publicado: (2018) -
Scalable photonic reinforcement learning by time-division multiplexing of laser chaos
por: Naruse, Makoto, et al.
Publicado: (2018) -
Adaptive model selection in photonic reservoir computing by reinforcement learning
por: Kanno, Kazutaka, et al.
Publicado: (2020) -
Controlling chaotic itinerancy in laser dynamics for reinforcement learning
por: Iwami, Ryugo, et al.
Publicado: (2022) -
Photonic reinforcement learning based on optoelectronic reservoir computing
por: Kanno, Kazutaka, et al.
Publicado: (2022)