IJCAI 2021poster0 citations
AI for Planning Public Health Interventions
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.
Planning and Scheduling: Planning and SchedulingAgent-based and Multi-agent Systems: Resource AllocationAgent-based and Multi-agent Systems: Multi-agent PlanningPlanning and Scheduling: Markov Decisions Processes
BibTeX
@inproceedings{ijcai2021p682,
title = {AI for Planning Public Health Interventions},
author = {Mate, Aditya},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Zhi-Hua Zhou},
pages = {4901--4902},
year = {2021},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2021/682},
url = {https://doi.org/10.24963/ijcai.2021/682},
}