Repot: Transferable Reinforcement Learning for Quality-Centric Networked Monitoring in Various Environments

Collecting and monitoring data in low-latency from numerous sensing devices is one of the key foundations in networked cyber-physical applications such as industrial process control, intelligent traffic control, and networked robots. As the delay in data updates can degrade the quality of networked...

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Autores principales: Youngseok Lee, Woo Kyung Kim, Sung Hyun Choi, Ikjun Yeom, Honguk Woo
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/5896d7e1f2a54ae19ade84d6d7ca88b2
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