Skip to content
conftrace_
2021 IJCAI IJCAI 2021

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

Authors

Aditya Mate

Topics

Mathematics & Optimization > Optimization > Online Algorithms Machine Learning > Learning Types > Multi-Armed Bandits

Keywords

sequential decision making resource allocation multi-armed bandit restless multi-armed bandit public health intervention planning restless bandit
Download PDF

More from IJCAI 2021

All IJCAI 2021 papers →
Planning and Reinforcement Learning for General-Purpose Service Robots
Nash Welfare in the Facility Location Problem
Deep Reinforcement Learning with Hierarchical Structures
Uncertain Time Series Classification
Combining Reinforcement Learning and Causal Models for Robotics Applications
On the Learnability of Knowledge in Multi-Agent Logics