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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.
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.
Dylan Engelbrecht is a Unity gameplay engineer and author of Building Multiplayer Games in Unity: Using Mirror Networking. He has extensive experience in both enterprise and commercial game development. With work showcased by invitation at Comic-Con Africa and rAge Expo, he has an exceptional understanding of all things Unity.
Provides a fantastic introduction to the concepts of machine learning, AI, and neural networks
Covers the Unity ML-Agents package and its role in model-based reinforcement learning
Teaches how to set up an AI agent and environment, and the various training techniques involved
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
204 S. 37 s/w Illustr. 28 farbige Illustr. 204 p. 65 illus. 28 illus. in color. |
| ISBN-13: | 9781484289976 |
| ISBN-10: | 1484289978 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Engelbrecht, Dylan |
| Auflage: | 1st edition |
| Hersteller: | APRESS |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 13 mm |
| Von/Mit: | Dylan Engelbrecht |
| Erscheinungsdatum: | 26.01.2023 |
| Gewicht: | 0,347 kg |
Dylan Engelbrecht is a Unity gameplay engineer and author of Building Multiplayer Games in Unity: Using Mirror Networking. He has extensive experience in both enterprise and commercial game development. With work showcased by invitation at Comic-Con Africa and rAge Expo, he has an exceptional understanding of all things Unity.
Provides a fantastic introduction to the concepts of machine learning, AI, and neural networks
Covers the Unity ML-Agents package and its role in model-based reinforcement learning
Teaches how to set up an AI agent and environment, and the various training techniques involved
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xvii
204 S. 37 s/w Illustr. 28 farbige Illustr. 204 p. 65 illus. 28 illus. in color. |
| ISBN-13: | 9781484289976 |
| ISBN-10: | 1484289978 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Engelbrecht, Dylan |
| Auflage: | 1st edition |
| Hersteller: | APRESS |
| Verantwortliche Person für die EU: | APress in Springer Science + Business Media, Heidelberger Platz 3, D-14197 Berlin, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 13 mm |
| Von/Mit: | Dylan Engelbrecht |
| Erscheinungsdatum: | 26.01.2023 |
| Gewicht: | 0,347 kg |
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