Tag Archives: with

Online Bayesian Recommendation With No Regret

By | June 12, 2023

Online Bayesian Recommendation With No Regret – In this post, I will discuss the multi-armed robbery problem and the implementation of four specific robbery algorithms in Python (epsilon greedy, UCB1, Bayesian UCB, and EXP3). I evaluate their performance as a content measurement system on a real dataset of movie categories and provide simple and reproducible code to apply… Read More »