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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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Toc

Table of Contents (17) Chapters Close

Preface 1. Welcome to the Robot World FREE CHAPTER 2. Discover Your AI Toolkit 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

Problem to solve

First, let's have a look at the game itself:

Figure 1: The Snake game

Does that look somewhat familiar to you?

I'm pretty convinced that it will; everyone's played Snake at least once in their life.

The game is pretty simple; it consists of a snake and an apple. We control the snake and our aim is to eat as many apples as possible.

Sounds easy? Well, there's a small catch. Every time our snake eats an apple, our snake gets larger by one tile. This means that the game is unbelievably simple at the beginning, but it gets gradually harder, to the point where it becomes a strategic game.

Also, when controlling our snake, we can't hit ourselves, nor the borders of the board. This rather predictably results in us losing.

Now that we understand the problem, we can progress to the first step when creating an AI – building the environment!

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