AI for Planning Public Health Interventions
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 4901-4902.
https://doi.org/10.24963/ijcai.2021/682
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
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.
Aditya Mate. 2021. AI for Planning Public Health Interventions. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 4901–4902. https://doi.org/10.24963/ijcai.2021/682
Mate, A. (2021). AI for Planning Public Health Interventions. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 (pp. 4901–4902). IJCAI. https://doi.org/10.24963/ijcai.2021/682
@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 = {Prof. 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},
}
TY - CPAPER TI - AI for Planning Public Health Interventions AU - Mate, Aditya T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 4901 EP - 4902 DO - 10.24963/ijcai.2021/682 UR - https://doi.org/10.24963/ijcai.2021/682 ER -Copied
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