Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838645359
Length 360 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Hadelin de Ponteves Hadelin de Ponteves
Author Profile Icon Hadelin de Ponteves
Hadelin de Ponteves
Arrow right icon
View More author details
Toc

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

The Maze

You are going to learn how Q-learning works inside a maze. Let's draw our maze right away; here it is:

Figure 1: The Maze

I know, it's the simplest maze you have ever seen. That's important for the sake of simplicity, so that you can mostly focus on how the AI works its magic. Imagine if you got lost in this chapter because of the maze and not because of the AI formulas! The important thing is that you have a clear maze, and you can visualize how the AI might manage to find its way from the beginning to the end.

Speaking of the beginning and the end, imagine a little robot inside this maze, starting at point E (Entrance). Its goal is to find the quickest way to point G (Goal). We humans can figure that out in no time, but that's only because our maze is so simple. What you are going to build is an AI that can go from a starting point to an ending point, regardless of how complex the maze is. Let's get started!

...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image