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Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices
Reinforcement learning has recently been studied in various fields and also used to optimally control IoT devices supporting the expansion of Internet connection beyond the usual standard devices. In this paper, we try to allow multiple reinforcement learning agents to learn optimal control policy o...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085801/ https://www.ncbi.nlm.nih.gov/pubmed/32121671 http://dx.doi.org/10.3390/s20051359 |