Q-Learning: From Basics to Deep Q-Networks

Explore the fundamentals of Q-Learning in this comprehensive 46-minute video lecture. Delve into the world of reinforcement learning, starting with an introduction to the concept and its applications. Discover the intricacies of Q-Functions and their role in decision-making processes. Examine the Bellman Equation and its significance in reinforcement learning algorithms. Learn how to effectively train Q-Functions and understand the principles behind Deep Q-Learning. Gain insights into Markov Decision Processes and their relevance to Q* algorithms. Follow along with a structured outline covering key topics, from basic concepts to advanced techniques, providing a solid foundation for understanding modern reinforcement learning approaches.

- Introduction
- Reinforcement Learning
- Q-Functions
- The Bellman Equation
- How to learn the Q-Function?
- Deep Q-Learning
- Summary