Reinforcement Learning, second edition - An Introduction

Reinforcement learning is a foundational concept in the field of artificial intelligence, serving as a bridge between machine learning, neuroscience, and behavioral psychology. In their comprehensive volume, Richard S. Sutton and Andrew G. Barto provide a structured exploration of the mathematical and conceptual underpinnings of reinforcement learning, making complex ideas accessible for both newcomers and seasoned practitioners. This work emphasizes the dynamic interplay between an agent and its environment, and how intelligent behavior can be learned through trial, error, and reward.

• Reinforcement learning focuses on goal-directed learning from interaction.
• The core...

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