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Reinforcement Learning: An Introduction (PDF) is a book that provides a comprehensive introduction to the field of reinforcement learning. Reinforcement learning is a subfield of machine learning that involves training an agent to make decisions based on trial-and-error experience in an environment, with the goal of maximizing a reward signal.

The book covers the fundamental concepts and algorithms of reinforcement learning, including value-based methods, policy-based methods, and model-based methods. It also discusses advanced topics such as exploration, function approximation, and deep reinforcement learning.

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