Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

R package for Multi-Armed Bandit Simulation Study

This repository is for a Decision Making Aarhus University Course assignment, focusing on using Multi-Armed Bandit algorithms, specifically the epsilon-greedy algorithm, for optimizing click-through rates in digital advertising by balancing the exploration of new ads and the exploitation of successful ones.