Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies

Carlos Güemes-Palau, Paul Almasan, Shihan Xiao, Xiangle Cheng, Xiang Shi, Pere Barlet-Ros, Albert Cabellos-Aparicio. Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies. In 2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, April 25-29, 2022. pages 1-5, IEEE, 2022. [doi]

@inproceedings{Guemes-PalauAXC22,
  title = {Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies},
  author = {Carlos Güemes-Palau and Paul Almasan and Shihan Xiao and Xiangle Cheng and Xiang Shi and Pere Barlet-Ros and Albert Cabellos-Aparicio},
  year = {2022},
  doi = {10.1109/NOMS54207.2022.9789945},
  url = {https://doi.org/10.1109/NOMS54207.2022.9789945},
  researchr = {https://researchr.org/publication/Guemes-PalauAXC22},
  cites = {0},
  citedby = {0},
  pages = {1-5},
  booktitle = {2022 IEEE/IFIP Network Operations and Management Symposium, NOMS 2022, Budapest, Hungary, April 25-29, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0601-7},
}