Lecture
This lecture covers the topic of multi-arm bandits, focusing on distribution estimation. The instructor explains the UCB algorithm and its results, asymptotic environments, and the concept of gap knowledge. The lecture also delves into the concepts of empirical estimates, property testing, and estimation criteria, emphasizing the importance of robust estimators.