Reinforcement Learning: Foundations and Applications combines rigorous theory with real-world relevance to introduce readers to one of the most influential branches of modern Artificial Intelligence. Walking readers through the essential principles, algorithms, and techniques that define reinforcement learning (RL), the book highlights how RL enables intelligent systems to learn from interaction and optimize decision-making in domains such as robotics, autonomous control, game AI, finance,...