Bandits - Lecture 5

Explore the intricacies of bandit algorithms in this comprehensive lecture by Kevin Jamieson from the University of Washington's Paul G. Allen School. Delve into advanced concepts and applications of bandit theory, gaining insights into decision-making processes under uncertainty. Over the course of 63 minutes, learn about various bandit models, strategies for balancing exploration and exploitation, and cutting-edge research in this field. Enhance your understanding of machine learning and optimization techniques as you examine real-world applications of bandit algorithms in areas such as online advertising, clinical trials, and recommendation systems.

Bandits V Kevin Jamieson University of Washington