東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Unity (Electronic resource)" ]

切換: 標籤 | MARC模式 | ISBD

Introduction to Unity ML-Agents = un...

Engelbrecht, Dylan.

FindBook

Google Book

Amazon

博客來

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-Agentsunderstand 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 /
LDR:02526nmm a2200325 a 4500 001 2316491
003 DE-He213
005 20230126160529.0
006 m d
007 cr nn 008maaau
008 230902s2023 cau s 0 eng d
020 $a 9781484289983 $q (electronic bk.)
020 $a 9781484289976 $q (paper)
024 7 $a 10.1007/978-1-4842-8998-3 $2 doi
035 $a 978-1-4842-8998-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .E54 2023
072 7 $a UMK $2 bicssc
072 7 $a COM012040 $2 bisacsh
072 7 $a UMK $2 thema
082 0 4 $a 794.81526 $2 23
090 $a Q325.5 $b .E57 2023
100 1 $a Engelbrecht, Dylan. $3 3593835
245 1 0 $a Introduction to Unity ML-Agents $h [electronic resource] : $b understand the interplay of neural networks and simulation space using the Unity ML-Agents Package / $c by Dylan Engelbrecht.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2023.
300 $a xvii, 204 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
630 0 0 $a Unity (Electronic resource) $3 2068777
650 0 $a Video games $x Programming. $3 1535402
650 0 $a Machine learning. $3 533906
650 0 $a Application software $x Development. $3 539563
650 1 4 $a Game Development. $3 3166400
650 2 4 $a Artificial Intelligence. $3 769149
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-8998-3
950 $a Professional and Applied Computing (SpringerNature-12059)