Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks

Ying He, F. Richard Yu, Nan Zhao, Hongxi Yin, Azzedine Boukerche. Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks. In Mirela Sechi Moretti Annoni Notare, Rodolfo W. L. Coutinho, editors, Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent VehicularNetworks and Applications, MSWiM 2017, Miami, FL, USA, November 21-25, 2017. pages 47-54, ACM, 2017. [doi]

@inproceedings{HeYZYB17,
  title = {Deep Reinforcement Learning (DRL)-based Resource Management in Software-Defined and Virtualized Vehicular Ad Hoc Networks},
  author = {Ying He and F. Richard Yu and Nan Zhao and Hongxi Yin and Azzedine Boukerche},
  year = {2017},
  doi = {10.1145/3132340.3132355},
  url = {http://doi.acm.org/10.1145/3132340.3132355},
  researchr = {https://researchr.org/publication/HeYZYB17},
  cites = {0},
  citedby = {0},
  pages = {47-54},
  booktitle = {Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent VehicularNetworks and Applications, MSWiM 2017, Miami, FL, USA, November 21-25, 2017},
  editor = {Mirela Sechi Moretti Annoni Notare and Rodolfo W. L. Coutinho},
  publisher = {ACM},
  isbn = {978-1-4503-5164-5},
}