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Adherence Bandits

Jackson A. Killian*
Arshika Lalan*
Aditya Mate*
Manish Jain
The Workshop on Artificial Intelligence for Social Good at AAAI 2023 (2023)

Abstract

We define a new subclass of the restless multi-armed bandit framework, that we name Adherence Bandits, designed to capture the dynamics prevalent in many public health intervention problems. We discuss key properties of Adherence Bandits, their real-world motivations, how structures lead to both technical and computational advantages, and natural extensions that have been or can be made to the subclass. We summarise key research works that have contributed to the growing sub-area and finish by highlighting future directions of research