Reinforcement Learning by Richard S. Sutton

Reinforcement Learning by Richard S. Sutton is the definitive guide to understanding how agents learn to make decisions through trial and error. Covering fundamental concepts like Markov decision processes, dynamic programming, Monte Carlo methods, and temporal-difference learning, this book blends theory with practical algorithms. Ideal for students, researchers, and AI practitioners, it provides a clear, comprehensive roadmap to designing intelligent systems that learn and adapt in complex environments.