Module 03: MDPs, Bellman Equations & Dynamic Programming

Coming soon.

The mathematical backbone of RL - where we formalize decision-making under uncertainty and solve it exactly (when we can).

Learning Objectives

• Define MDPs formally and identify them in real-world problems
• Derive and apply Bellman equations
• Implement Value Iteration and Policy Iteration
• Understand when DP methods work and when they don't

Concept Explanation

Coming soon.

Code Examples

Coming soon.

Exercises

Coming soon.