Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)

Explore the world of AI with Reinforcement Learning, Second Edition: An Introduction. Part of the Adaptive Computation and Machine Learning series, this guide offers a clear path to understanding core reinforcement learning concepts.

Authored by Andrew G. Barto and Richard S. Sutton, this edition covers key algorithms and frameworks driving modern AI. Learn how agents learn through trial and error, maximizing rewards in their environment.

Discover Markov decision processes, Monte Carlo methods, temporal-difference learning, and more. Gain insights into applying reinforcement learning to real-world challenges. Essential for students, researchers, and practitioners.

ISBN: 9780262039246