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Repo containing lab files for "Machine Learning" course taken during academic year 2022-2023 summer semester of Master of Telecommunication Engineering program at Politecnico di Milano
[Python] 4 multi-armed bandit algorithms are implemented to determine which one can most effectively determine the best website configuration that maximise signups.
Multi-Stage-Multi-Armed Bandits (MAB) are a class of reinforcement learning problems where an agent tries to maximize its cumulative reward by sequentially selecting actions from multiple options (arms) and observing the rewards associated with those actions.
This repository contains the code necessary for generating the figures presented in the paper titled "Cooperative Thresholded Lasso for Sparse Linear Bandit".
Batched Multi-armed Bandits Problem - Analisi critica. Artificial Intelligence Course Project on the study and experimental results' analysis of a scientific paper.
Sending personalized marketing offers (called free play in a casino setting) to players by observing data on their gaming behavior and demographic information
Our project for the "Data Intelligence Applications" exam at Politecnico di Milano. The project was about Social Influence and Pricing online learning techniques applied to networks.