TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic

Bin Lin, Yingya Guo, Huan Luo 0001, Mingjie Ding. TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic. Future Generation Comp. Syst., 161:95-105, 2024. [doi]

@article{LinGLD24,
  title = {TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic},
  author = {Bin Lin and Yingya Guo and Huan Luo 0001 and Mingjie Ding},
  year = {2024},
  doi = {10.1016/j.future.2024.07.006},
  url = {https://doi.org/10.1016/j.future.2024.07.006},
  researchr = {https://researchr.org/publication/LinGLD24},
  cites = {0},
  citedby = {0},
  journal = {Future Generation Comp. Syst.},
  volume = {161},
  pages = {95-105},
}