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pro vyhledávání: '"Angela Rodriguez-Vivas"'
Autor:
Armando Ordonez, Oscar Mauricio Caicedo, William Villota, Angela Rodriguez-Vivas, Nelson L. S. da Fonseca
Publikováno v:
Sensors, Vol 22, Iss 16, p 6301 (2022)
Reinforcement Learning (RL) comes with the promise of automating network management. However, due to its trial-and-error learning approach, model-based RL (MBRL) is not applicable in some network management scenarios. This paper explores the potentia
Externí odkaz:
https://doaj.org/article/02dc1b518ab644b290bebd14b6b24c0e
Autor:
Angela Rodriguez-Vivas, Oscar Mauricio Caicedo, Armando Ordoñez, Jéferson Campos Nobre, Lisandro Zambenedetti Granville
Publikováno v:
Sensors, Vol 21, Iss 5, p 1790 (2021)
Realizing autonomic management control loops is pivotal for achieving self-driving networks. Some studies have recently evidence the feasibility of using Automated Planning (AP) to carry out these loops. However, in practice, the use of AP is complic
Externí odkaz:
https://doaj.org/article/864a1b2d357d49acbab58ac6af4e61f1