Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Introduction to Unity ML-Agents = un...
~
Engelbrecht, Dylan.
Linked to 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 /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Introduction to Unity ML-Agents/ by Dylan Engelbrecht.
Reminder of title:
understand the interplay of neural networks and simulation space using the Unity ML-Agents Package /
Author:
Engelbrecht, Dylan.
Published:
Berkeley, CA :Apress : : 2023.,
Description:
xvii, 204 p. :ill., digital ;24 cm.
[NT 15003449]:
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
Subject:
Video games - Programming. -
Online resource:
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 /
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)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9452741
電子資源
11.線上閱覽_V
電子書
EB Q325.5 .E54 2023
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login