Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario - A case study of a Metro City

Gollavilli Srikanth, Nivedita Nukavarapu, Surya S. Durbha. Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario - A case study of a Metro City. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021. pages 8499-8502, IEEE, 2021. [doi]

@inproceedings{SrikanthND21,
  title = {Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario - A case study of a Metro City},
  author = {Gollavilli Srikanth and Nivedita Nukavarapu and Surya S. Durbha},
  year = {2021},
  doi = {10.1109/IGARSS47720.2021.9554875},
  url = {https://doi.org/10.1109/IGARSS47720.2021.9554875},
  researchr = {https://researchr.org/publication/SrikanthND21},
  cites = {0},
  citedby = {0},
  pages = {8499-8502},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0369-6},
}