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Unity Artificial Intelligence Programming

You're reading from   Unity Artificial Intelligence Programming Add powerful, believable, and fun AI entities in your game with the power of Unity

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781803238531
Length 308 pages
Edition 5th Edition
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Author (1):
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Dr. Davide Aversa Dr. Davide Aversa
Author Profile Icon Dr. Davide Aversa
Dr. Davide Aversa
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1:Basic AI
2. Chapter 1: Introduction to AI FREE CHAPTER 3. Chapter 2: Finite State Machines 4. Chapter 3: Randomness and Probability 5. Chapter 4: Implementing Sensors 6. Part 2:Movement and Navigation
7. Chapter 5: Flocking 8. Chapter 6: Path Following and Steering Behaviors 9. Chapter 7: A* Pathfinding 10. Chapter 8: Navigation Mesh 11. Part 3:Advanced AI
12. Chapter 9: Behavior Trees 13. Chapter 10: Procedural Content Generation 14. Chapter 11: Machine Learning in Unity 15. Chapter 12: Putting It All Together 16. Other Books You May Enjoy

Installing the ML-Agents Toolkit

As a first step, we need to download the toolkit. We can do this by cloning the repository with the following command:

git clone --branch release_19 https://github.com/Unity-Technologies/ml-agents.git

This command creates an ml-agents folder in your current folder. The ML-Agents Toolkit is composed of two main components:

  • A Python package containing the Python interface for Unity and PyTorch's trainers (stored in the ml-agents folder)
  • A Python package containing the interface with OpenAI Gym (https://gym.openai.com/), a toolkit for training reinforcement learning agents (stored in the gym-unity folder).

    Information

    Git is the most famous version-control application in the world. It is used to store your source code, keep track of different versions, collaborate with other people, and much more. If you are not already using Git, you should really check it out. You can download it from https://git-scm.com/.

Now, it is time...

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