Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis

Sarah Wassermann, Thibaut Cuvelier, Pavol Mulinka, Pedro Casas

Open source

DOI
10.1109/tnsm.2020.3037486
Published
2021-06
Container
IEEE Transactions on Network and Service Management
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Open access
unknown

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BibTeX

@article{allodium:10.1109/tnsm.2020.3037486,
  title = {Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis},
  author = {Sarah Wassermann and Thibaut Cuvelier and Pavol Mulinka and Pedro Casas},
  year = {2021},
  journal = {IEEE Transactions on Network and Service Management},
  doi = {10.1109/tnsm.2020.3037486},
  url = {https://doi.org/10.1109/tnsm.2020.3037486}
}

RIS

TY  - JOUR
TI  - Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis
AU  - Sarah Wassermann
AU  - Thibaut Cuvelier
AU  - Pavol Mulinka
AU  - Pedro Casas
PY  - 2021
JO  - IEEE Transactions on Network and Service Management
DO  - 10.1109/tnsm.2020.3037486
UR  - https://doi.org/10.1109/tnsm.2020.3037486
ER  - 

APA

Wassermann, S., Cuvelier, T., Mulinka, P., & Casas, P. (2021). Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. IEEE Transactions on Network and Service Management. https://doi.org/10.1109/tnsm.2020.3037486

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