Reinforcement Learning: An Introduction – Richard S. Sutton and Andrew G. Barto
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Reinforcement Learning: An Introduction – Richard S. Sutton and Andrew G. Barto is a foundational guide to understanding how agents learn optimal behaviors through trial and error interactions with their environment.
- ✅ Comprehensive coverage of reinforcement learning concepts from basics to advanced methods.
- ✅ Clear explanations with real-world examples and intuitive diagrams.
- ✅ Detailed treatment of algorithms like Q-learning, policy gradients, and temporal-difference learning.
- ✅ Widely used as the standard reference in AI and machine learning education.