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 up with a discussion of moral and ethical considerations. You will then learn how to use the powerful machine learning tool and investigate different potential real-world use cases. We will examine how AI agents perceive the simulated world and how to use inputs, outputs, and rewards to train efficient and effective neural networks. Next, you’ll learn how to use Unity ML-Agents and how to incorporate them into your game or product.

This book will thoroughly introduce you to ML-Agents in Unity and how to use them in your next project.

What You Will Learn

• Understand machine learning, its history, capabilities, and expected progression
• Gives a step-by-step guide to creating your first AI
• Presents challenges of varying difficulty, along with tips to reinforce concepts covered
• Broad concepts within AI

Who Is This Book For

Tthose interested in machine learning using Unity ML-Agents. To get the best out of this book, you should have a fundamental understanding of C#, some background in Python, and are well versed in Unity.