Dynamic Programming in RL: Policy & Value Iteration

Ever wondered how AI-powered agents learn to make smart decisions-like a robot choosing the shortest path or a game bot planning its next winning move? That's where Dynamic Programming in Reinforcement Learning comes into play.

In this beginner-friendly guide, we'll break down Policy Iteration and Value Iteration-two core techniques that form the foundation of model-based RL methods. We'll walk through these step by step, with analogies and simple examples to keep things fun and understandable.