Q-Learning Demystified: Building Intelligent Game-Playing Agents

Q-Learning is a foundational reinforcement learning algorithm that enables machines to learn optimal strategies through interaction and reward feedback. By implementing this algorithm from scratch with Tic Tac Toe, learners gain practical insights into how AI systems make increasingly intelligent decisions over time. This knowledge is essential for anyone pursuing careers in machine learning, robotics, or intelligent systems development.