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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

Testing the learning environment

Before we start learning, we want to test the environment by controlling the Agents with manual input. It is very useful to debug the learning environment without wasting hours of the training process.

Fortunately, the ML-Agents Toolkit makes it very handy to control an agent with live input. We only need two steps:

  1. We add the Heuristic method to the SphereAgent component. This function allows us to manually specify the values of the ActionBuffer objects. In our case, we want to add the two continuous actions to the input axes of the controller:
        public override void Heuristic(
          in ActionBuffers actionsOut) {
            var continuousActionsOut = 
              actionsOut.ContinuousActions;
            continuousActionsOut[0] = 
          ...
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