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Hands-On Deep Learning for Games

You're reading from   Hands-On Deep Learning for Games Leverage the power of neural networks and reinforcement learning to build intelligent games

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781788994071
Length 392 pages
Edition 1st Edition
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Author (1):
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Micheal Lanham Micheal Lanham
Author Profile Icon Micheal Lanham
Micheal Lanham
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Table of Contents (18) Chapters Close

Preface 1. Section 1: The Basics
2. Deep Learning for Games FREE CHAPTER 3. Convolutional and Recurrent Networks 4. GAN for Games 5. Building a Deep Learning Gaming Chatbot 6. Section 2: Deep Reinforcement Learning
7. Introducing DRL 8. Unity ML-Agents 9. Agent and the Environment 10. Understanding PPO 11. Rewards and Reinforcement Learning 12. Imitation and Transfer Learning 13. Building Multi-Agent Environments 14. Section 3: Building Games
15. Debugging/Testing a Game with DRL 16. Obstacle Tower Challenge and Beyond 17. Other Books You May Enjoy

Installing ML-Agents

In this section, we cover a high-level overview of the steps you will need to take in order to successfully install the ML-Agents SDK. This material is still in beta and has already changed significantly from version to version. As such, if you get stuck going through these high-level steps, just go back to the most recent Unity docs; they are very well written.

Jump on your computer and follow these steps; there may be many sub steps, so expect this to take a while:

  1. Be sure you have Git installed on your computer; it works from the command line. Git is a very popular source code management system, and there is a ton of resources on how to install and use Git for your platform. After you have installed Git, just be sure it works by test cloning a repository, any repository.
  2. Open a command window or a regular shell. Windows users can open an Anaconda window...
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