Knowledge Infused Policy Gradients for Adaptive Pandemic Control

Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth. Knowledge Infused Policy Gradients for Adaptive Pandemic Control. In Andreas Martin 0001, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen, editors, Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. Volume 2846 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

@inproceedings{RoyZGS21,
  title = {Knowledge Infused Policy Gradients for Adaptive Pandemic Control},
  author = {Kaushik Roy and Qi Zhang and Manas Gaur and Amit P. Sheth},
  year = {2021},
  url = {http://ceur-ws.org/Vol-2846/paper4.pdf},
  researchr = {https://researchr.org/publication/RoyZGS21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021},
  editor = {Andreas Martin 0001 and Knut Hinkelmann and Hans-Georg Fill and Aurona Gerber and Doug Lenat and Reinhard Stolle and Frank van Harmelen},
  volume = {2846},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}