Project 1
PDE as a Novel Method to Study the Multi-Armed Bandit Problem
The multi-armed bandit (MAB) framework has garnered significant attention in various domains, including recommender systems, information retrieval, healthcare, and finance. A simple real-world example can enhance understanding of the multi-armed bandit problem for individuals who may be unfamiliar with this field: A real example of the multi-armed bandit problem can be illustrated with the context of online advertising. Imagine an online platform that wants to optimize the allocation of ad placements to maximize user engagement or click-through rates. The platform has a set of available ads (arms) and needs to determine which ad to show to each user to achieve the highest overall performance.