1.12 Fast Reinforcement Learning II | Bandits, UCB, and Thompson Sampling Thompson Explained

Foundations of Machine Learning • Part 2.1: PAC Learning Explained (Slides by Prof. Mohri, NYU)

How Does PAC Learning Address Generalization?

How Does PAC Learning Theory Work?

What Is Sample Complexity In PAC Learning?

Combinatorial and Geometric Challenges in PAC Learning with Partial Concepts - Shay Moran

1.11 Bandit Algorithms in Reinforcement Learning | UCB & Thompson Sampling