AI for Planning Public Health Interventions

IJCAI 2021 pp. 4901-4902

doi:10.24963/IJCAI.2021/682 /ijcai/2021/mate2021ijcai-ai/

Abstract

Several scenarios involving public health interventions have a unifying underlying theme, that deals with the challenge of optimizing the limited intervention resources available. My dissertation casts this as a Restless Multi-Armed Bandit (RMAB) planning problem, identifying and addressing several new, fundamental questions in RMABs.

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Cite

Text

Mate. "AI for Planning Public Health Interventions." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/682

Markdown

[Mate. "AI for Planning Public Health Interventions." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/mate2021ijcai-ai/) doi:10.24963/IJCAI.2021/682

BibTeX

@inproceedings{mate2021ijcai-ai,
  title     = {{AI for Planning Public Health Interventions}},
  author    = {Mate, Aditya},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {4901-4902},
  doi       = {10.24963/IJCAI.2021/682},
  url       = {https://mlanthology.org/ijcai/2021/mate2021ijcai-ai/}
}