L-10 Value Function Explained | What is V(s) in Reinforcement Learning?

In this video, I explain one of the most important concepts in Reinforcement Learning (RL) — the Value Function, written as V(s).

You’ll learn:
✅ What V(s) means in RL
✅ Why it matters for decision-making
✅ How agents learn the value of different states
✅ How to calculate V(s) using the Bellman Expectation Equation
✅ A simple, intuitive example using the classic Snake game 🐍

This tutorial is designed for beginners in Machine Learning, Artificial Intelligence, and Reinforcement Learning who want to build a strong foundation. By the end, you’ll have a clear understanding of how V(s) works and how to apply it in AI agent training.

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