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AI Crash Course

You're reading from   AI Crash Course A fun and hands-on introduction to machine learning, reinforcement learning, deep learning, and artificial intelligence with Python

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838645359
Length 360 pages
Edition 1st Edition
Languages
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Author (1):
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Hadelin de Ponteves Hadelin de Ponteves
Author Profile Icon Hadelin de Ponteves
Hadelin de Ponteves
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Table of Contents (17) Chapters Close

Preface 1. Welcome to the Robot World 2. Discover Your AI Toolkit FREE CHAPTER 3. Python Fundamentals – Learn How to Code in Python 4. AI Foundation Techniques 5. Your First AI Model – Beware the Bandits! 6. AI for Sales and Advertising – Sell like the Wolf of AI Street 7. Welcome to Q-Learning 8. AI for Logistics – Robots in a Warehouse 9. Going Pro with Artificial Brains – Deep Q-Learning 10. AI for Autonomous Vehicles – Build a Self-Driving Car 11. AI for Business – Minimize Costs with Deep Q-Learning 12. Deep Convolutional Q-Learning 13. AI for Games – Become the Master at Snake 14. Recap and Conclusion 15. Other Books You May Enjoy 16. Index

Summary

In this chapter, you've implemented a Q-learning solution to a business problem. You had to find the best route to a certain location in your warehouse. Not only have you done that, but you've also implemented additional code that allowed your AI to make as many intermediary stops as you wanted. Based on the obtained rewards, your AI was able to find the best route going through these stops. That was Q-learning for warehouse robots. Now, let's move on to deep Q-learning!

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