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Reinforcement Learning with Python Explained for Beginners

You're reading from   Reinforcement Learning with Python Explained for Beginners Master the fundamentals of reinforcement learning

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Product type Video
Published in Feb 2021
Publisher Packt
ISBN-13 9781801072274
Length 9hrs 7mins
Edition 1st Edition
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AI Sciences AI Sciences
Author Profile Icon AI Sciences
AI Sciences
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Table of Contents (12) Chapters Close

1. Introduction to Course and Instructor 2. Motivation Reinforcement Learning FREE CHAPTER 3. Terminology of Reinforcement Learning 4. GridWorld Example 5. Markov Decision Process Prerequisites 6. Elements of Markov Decision Process 7. More on Reward 8. Solving Markov DP 9. Value Approximation 10. Temporal Differencing - Q Learning 11. TD Lambda 12. Project Frozenlake (Open AI Gym)
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