AI for Planning Public Health Interventions
AI for Planning Public Health Interventions
Aditya Mate
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
Doctoral Consortium. Pages 4901-4902.
https://doi.org/10.24963/ijcai.2021/682
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.
Keywords:
Planning and Scheduling: Planning and Scheduling
Agent-based and Multi-agent Systems: Resource Allocation
Agent-based and Multi-agent Systems: Multi-agent Planning
Planning and Scheduling: Markov Decisions Processes