---
title: "AI for Planning Public Health Interventions"
authors:
  - "Aditya Mate"
doi: "10.24963/ijcai.2021/682"
url: "https://ijcai.org/proceedings/2021/682"
pdf: "https://ijcai.org/proceedings/2021/0682.pdf"
venue: "Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"
year: 2021
pages: "4901-4902"
track: "Doctoral Consortium"
keywords:
  - "Planning and Scheduling: Planning and Scheduling"
  - "Planning and Scheduling: Markov Decisions Processes"
  - "Agent-based and Multi-agent Systems: Multi-agent Planning"
  - "Agent-based and Multi-agent Systems: Resource Allocation"
---

# AI for Planning Public Health Interventions

Aditya Mate

*Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence*, pages 4901-4902. DOI: [10.24963/ijcai.2021/682](https://doi.org/10.24963/ijcai.2021/682)

## 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.