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Control of chaotic systems by deep reinforcement learning
Deep reinforcement learning (DRL) is applied to control a nonlinear, chaotic system governed by the one-dimensional Kuramoto–Sivashinsky (KS) equation. DRL uses reinforcement learning principles for the determination of optimal control solutions and deep neural networks for approximating the value f...
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| Publicado no: | Proc Math Phys Eng Sci |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6894543/ https://ncbi.nlm.nih.gov/pubmed/31824214 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0351 |
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