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Full Product Details

Author:   Dylan Engelbrecht
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.349kg
ISBN:  

9781484289976

ISBN 10:   1484289978
Pages:   204
Publication Date:   26 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: IntroductionSub -Topics:● About the book● Required software Chapter 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 - 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

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Author Information

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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