In this lesson, we explore one of the most important ideas in Reinforcement Learning - the Bellman Equation. It’s the mathematical backbone of how RL agents evaluate states and actions, and it sets the stage for all major RL algorithms you’ll learn later. Lesson: Full Course: In this video you’ll learn: - What the Bellman Equation is and why it’s fundamental - How it links immediate rewards to future returns - The difference between Bellman Expectation and Bellman Optimality equations The intuition behind “value” and “acting optimally” By the end, you’ll understand how Bellman Equations help us reason about long-term returns and why every RL algorithm relies on them. #ReinforcementLearning #BellmanEquation #ValueFunctions #MDP #RLConcepts #AI #MachineLearning #DeepLearning #AIEducation #Edreate #PythonAI #Gymnasium Keywords: bellman equation, value functions in rl, optimal value function, expectation equation, reinforcement learning basics, mdp value function, dynamic programming rl, deep reinforcement learning course, python rl tutorial, edreate ai course