Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
Engelbrecht, Dylan
ISBN 10: 1484289978 ISBN 13: 9781484289976
Published by Apress, 2023
New
paperback
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Russell Books, Victoria, BC, Canada
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About this Item
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Synopsis:
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.About the Author:
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.
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Bibliographic Details
Title: Introduction to Unity ML-Agents: Understand ...
Publisher: Apress
Publication Date: 2023
Binding: paperback
Condition: New
Edition: 1st ed.
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Introduction to Unity ML-Agents (Paperback)
Published by
APress, Berkley, 2023
ISBN 10: 1484289978
ISBN 13: 9781484289976
New
Paperback
First Edition
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 LearnUnderstand machine learning, its history, capabilities, and expected progressionGives a step-by-step guide to creating your first AIPresents challenges of varying difficulty, along with tips to reinforce concepts coveredBroad concepts within AIWho Is This Book ForTthose 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781484289976
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Introduction to Unity ML-Agents (Paperback)
Published by
APress, Berkley, 2023
ISBN 10: 1484289978
ISBN 13: 9781484289976
New
Paperback
First Edition
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. 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 LearnUnderstand machine learning, its history, capabilities, and expected progressionGives a step-by-step guide to creating your first AIPresents challenges of varying difficulty, along with tips to reinforce concepts coveredBroad concepts within AIWho Is This Book ForTthose 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781484289976