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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-...
Shranjeno v:
| izdano v: | Sci Rep |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Publishing Group UK
2018
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6052166/ https://ncbi.nlm.nih.gov/pubmed/30022085 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-29117-y |
| Oznake: |
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