Introduction to Unity ML-Agents
Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
(Sprache: Englisch)
Beginner to Intermediate
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Produktinformationen zu „Introduction to Unity ML-Agents “
Beginner to Intermediate
Klappentext zu „Introduction to Unity ML-Agents “
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 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.
Inhaltsverzeichnis zu „Introduction to Unity ML-Agents “
Chapter 1: IntroductionSub -Topics: About the book Required softwareChapter 2: What is Machine Learning?Sub - Topics Introduction to machine learning How it's used currently in the modern day Briefly discuss the technologies that power AI
Chapter 3: A History of AI and Where We Are TodaySub - Topics: The first AI Early days of computing The evolution of AI Where we are now
Chapter 4: The Future of AI and Ethical ImplicationsSub - Topics: Why AI? Discussing the moral and ethical implications Bias and why we need diverse datasets Avoiding a bad future The potential for good The future of AI
Chapter 5: Flavours of AISub - Topics: AI Classification Types of AI and what ML-Agents use How different AI can solve different real-world challenges
Chapter 6: Dopamine for Machines - The Reward SystemSub - Topics: How and when to reward your AI agents A good reward system makes for a good AI Discuss various techniques for rewarding and punishing AI agents Team-based rewards
Chapter 7: Inputs and OutputsSub - Topics: Inputs Using various sensors Building a sensor Outputs
Chapter 8: Unity ML-AgentsSub - Topics: What is Unity ML-Agents? Project and python setup What is training and how does it work? Exploring the various forms of training A snapshot of a trained AI's brain
Chapter 9: Creating Your First AI in UnitySub - Topics: Confirming project versions and correct setup Introduction to what we're going to build Discussing how we're going to build it Planning the inputs, outputs, and rewards Explaining how we'll leverage these inputs and rewards to get meaningful results Setting up the AI Agent and environment Create a training environment Scaling the training Training our first AI Reflecting on the data to make improvements Training again Watching the reader's first AI become efficient and effective
Chapter 10: Solve a Challenge with AISub - Topics: The challenge Working through the challenge with the reader Tips and advice
Chapter 11: Challenges and TipsSub -
... mehr
Topics: An easy challenge and tips to solve it An intermediate challenge and tips to solve it
Chapter 12: Next StepsSub - Topics: Where to next?
Chapter 13: ConclusionSub - Topics: Conclusion Thanks
Chapter 14: Final words
Chapter 12: Next StepsSub - Topics: Where to next?
Chapter 13: ConclusionSub - Topics: Conclusion Thanks
Chapter 14: Final words
... weniger
Autoren-Porträt von Dylan Engelbrecht
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.Bibliographische Angaben
- Autor: Dylan Engelbrecht
- 2023, 1st ed., XVII, 204 Seiten, 28 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1484289978
- ISBN-13: 9781484289976
Sprache:
Englisch
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