Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Learn Unity ML-Agents ??? Fundamentals of Unity Machine Learning

You're reading from  Learn Unity ML-Agents ??? Fundamentals of Unity Machine Learning

Product type Book
Published in Jun 2018
Publisher Packt
ISBN-13 9781789138139
Pages 204 pages
Edition 1st Edition
Languages

Summary

In our final chapter together, we built a larger multi-agent training scenario called Terrarium, modeled after the original Microsoft Terrarium, a developer game developed by Microsoft in 2002 as a way of promoting the security features of .NET. We first spent time understanding the old rules and theme of the original game and those rules our creature agents would need to follow when building our simulation. From there, we pulled down some useful assets to make our simulation a little more game-like. Then, we built the foundations of our terrarium and created our first creature, the plant. The plant is essential to the life and training of our higher level agents like the herbivore, which was the next creature we built and started training as an ML-Agent in our scene. After building the herbivore, we moved onto building a carnivore creature as a way to balance and finish...

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 $15.99/month. Cancel anytime}