This video introduces the foundations of Reinforcement Learning (RL), one of the core areas of modern AI.
We cover:
What is Reinforcement Learning?
The agent–environment interaction loop
Markov Decision Process (MDP)
Policy and value functions
The Bellman equation
This lecture is designed for beginners, engineers, and researchers looking for an intuitive yet structured understanding of RL.
📌 Part of the "Reinforcement Learning: From Intuition to Research" series.
