November 2019
Intermediate to advanced
360 pages
8h 31m
English
Content preview from AI Crash Course
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Chapter 13
AI for Games – Become the Master at Snake
This is the last practical chapter; congratulations on finishing the previous ones! I hope you really enjoyed them. Now, let's leave aside business problems and self-driving cars. Let's have some fun by playing a popular game called Snake and making an AI that teaches itself to play this game!
That's exactly what we'll do in this chapter. The model we'll implement is called deep convolutional Q-learning, using a Convolutional Neural Network (CNN).
Our AI won't be perfect, and it won't fill in the entire map, but after some training it will start playing at a level comparable with humans.
Let's start tackling this problem by looking at what the game looks like and what the target is.
Problem ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.