Model-Based Reinforcement Learning with Automated Planning for Network Management

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 potential of using Automated Planning (AP) to achieve this...

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Detalles Bibliográficos
Autores principales: Ordonez, Armando, Caicedo, Oscar Mauricio, Villota, William, Rodriguez-Vivas, Angela, da Fonseca, Nelson L. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416718/
https://www.ncbi.nlm.nih.gov/pubmed/36016062
http://dx.doi.org/10.3390/s22166301

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416718/
https://www.ncbi.nlm.nih.gov/pubmed/36016062
http://dx.doi.org/10.3390/s22166301

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