Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lahmer, Seyyidahmed"'
In the past few years, DRL has become a valuable solution to automatically learn efficient resource management strategies in complex networks with time-varying statistics. However, the increased complexity of 5G and Beyond networks requires correspon
Externí odkaz:
http://arxiv.org/abs/2306.03887
In the past few years, Deep Reinforcement Learning (DRL) has become a valuable solution to automatically learn efficient resource management strategies in complex networks. In many scenarios, the learning task is performed in the Cloud, while experie
Externí odkaz:
http://arxiv.org/abs/2211.16915
Recently, there has been a trend of shifting the execution of deep learning inference tasks toward the edge of the network, closer to the user, to reduce latency and preserve data privacy. At the same time, growing interest is being devoted to the en
Externí odkaz:
http://arxiv.org/abs/2210.01625
In the past few years, Deep Reinforcement Learning (DRL) has become a valuable solution to automatically learn efficient resource management strategies in complex networks. In many scenarios, the learning task is performed in the Cloud, while experie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66b127705f19a2457c2ebf3e9f75a232
https://zenodo.org/record/7763546
https://zenodo.org/record/7763546