Reinforcement Learning: An Introduction (Second Edition) by Richard S. Sutton and Andrew G. Barto, hardcover, from the Adaptive Computation and Machine Learning series. This is the standard reference for learning modern reinforcement learning, covering dynamic programming, Monte Carlo methods, temporal-difference learning, value function approximation, policy gradients, and more.
Edition: Second (2018 MIT Press), ISBN 9780262039246, hardcover.
Condition: Brand new
Ships from Brampton, Ontario with free tracked shipping and 30‑day returns. Seller pays return shipping, so you can buy with confidence.
Standard RL textbook used in many university courses.
Second edition with updated content and notation.
Brand new hardcover, ideal for long-term reference
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