Introduction to Unity ML-Agents : understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /

Demystify the creation of efficient AI systems using the model-based reinforcement learning Unity ML-Agents - a powerful bridge between the world of Unity and Python. We will start with an introduction to the field of AI, then discuss the progression of AI and where we are today. We will follow this...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Engelbrecht, Dylan (Author)
Format: Electronic eBook
Language:Inglés
Published: New York, NY : Apress, [2023]
Edition:[First edition].
Subjects:
Unity (Electronic resource)
Video games > Programming.
Machine learning.
Application software > Development.
Jeux vidéo > Programmation.
Apprentissage automatique.
Logiciels d'application > Développement.
Video games > Programming
Application software > Development
Machine learning
Electronic books.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Chapter 1: Introduction
  • Chapter 2: History of AI and Where We Are Today
  • Chapter 3: The Future of AI and Ethical Implications
  • Chapter 4: Dopamine for Machines
  • Chapter 5: ML-Agents Setup
  • Chapter 6: Unity ML-Agents
  • Chapter 7: Creating Your First AI in Unity
  • Chapter 8: Solve a Challenge with AI.-Chapter 9: Next Steps.

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