December 2019
Intermediate to advanced
368 pages
11h 10m
English
Content preview from Hands-On Neuroevolution with Python
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Autonomous Maze Navigation
The maze navigation is a classic computer science problem related to the autonomous navigation domain. In this chapter, you will learn how neuroevolution-based methods can be used to solve the challenge of maze navigation. Also, we will explain how to define a goal-oriented fitness function using the fitness scores of the navigator agent calculated as a derivative of the agent's distance from the final goal. By the end of this chapter, you will understand the basics of training an autonomous navigation agent using neuroevolution methods and will be able to create the more advanced maze solver that will be introduced in the next chapter. You will become familiar with advanced visualization techniques that will make ...
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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.