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Introduction to Unity ML-Agents = un...
~
Engelbrecht, Dylan.
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Introduction to Unity ML-Agents = understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Introduction to Unity ML-Agents/ by Dylan Engelbrecht.
其他題名:
understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /
作者:
Engelbrecht, Dylan.
出版者:
Berkeley, CA :Apress : : 2023.,
面頁冊數:
xvii, 204 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Introduction -- Chapter 2: History of AI and Where We Are Today -- Chapter 3: The Future of AI and Ethical Implications -- Chapter 4: Dopamine for Machines -- Chapter 5: ML-Agents Setup -- Chapter 6: Unity ML-Agents -- Chapter 7: Creating Your First AI in Unity -- Chapter 8: Solve a Challenge with AI -- Chapter 9: Next Steps.
Contained By:
Springer Nature eBook
標題:
Video games - Programming. -
電子資源:
https://doi.org/10.1007/978-1-4842-8998-3
ISBN:
9781484289983
Introduction to Unity ML-Agents = understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /
Engelbrecht, Dylan.
Introduction to Unity ML-Agents
understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /[electronic resource] :by Dylan Engelbrecht. - Berkeley, CA :Apress :2023. - xvii, 204 p. :ill., digital ;24 cm.
Chapter 1: Introduction -- Chapter 2: History of AI and Where We Are Today -- Chapter 3: The Future of AI and Ethical Implications -- Chapter 4: Dopamine for Machines -- Chapter 5: ML-Agents Setup -- Chapter 6: Unity ML-Agents -- Chapter 7: Creating Your First AI in Unity -- Chapter 8: Solve a Challenge with AI -- Chapter 9: Next Steps.
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. You will: Understand machine learning, its history, capabilities, and expected progression Gain a step-by-step guide to creating your first AI Work with challenges of varying difficulty, along with tips to reinforce concepts covered Master broad concepts within AI.
ISBN: 9781484289983
Standard No.: 10.1007/978-1-4842-8998-3doiSubjects--Uniform Titles:
Unity (Electronic resource)
Subjects--Topical Terms:
1535402
Video games
--Programming.
LC Class. No.: Q325.5 / .E54 2023
Dewey Class. No.: 794.81526
Introduction to Unity ML-Agents = understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /
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Chapter 1: Introduction -- Chapter 2: History of AI and Where We Are Today -- Chapter 3: The Future of AI and Ethical Implications -- Chapter 4: Dopamine for Machines -- Chapter 5: ML-Agents Setup -- Chapter 6: Unity ML-Agents -- Chapter 7: Creating Your First AI in Unity -- Chapter 8: Solve a Challenge with AI -- Chapter 9: Next Steps.
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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. You will: Understand machine learning, its history, capabilities, and expected progression Gain a step-by-step guide to creating your first AI Work with challenges of varying difficulty, along with tips to reinforce concepts covered Master broad concepts within AI.
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