Introduction to Unity ML-Agents: understand the interplay of neural networks and simulation space using the Unity ML-Agents Package
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...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY
Apress
[2023]
|
| Ausgabe: | [First edition]. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781484289983/?ar |
| Zusammenfassung: | 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 For Tthose 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. |
| Umfang: | 1 Online-Ressource (213 Seiten) illustrations |
| ISBN: | 9781484289983 1484289986 |
Internformat
MARC
| LEADER | 00000cam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-089794664 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228121915.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 230322s2023 xx |||||o 00| ||eng c | ||
| 020 | |a 9781484289983 |c electronic bk. |9 978-1-4842-8998-3 | ||
| 020 | |a 1484289986 |c electronic bk. |9 1-4842-8998-6 | ||
| 035 | |a (DE-627-1)089794664 | ||
| 035 | |a (DE-599)KEP089794664 | ||
| 035 | |a (ORHE)9781484289983 | ||
| 035 | |a (DE-627-1)089794664 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a UMK |2 bicssc | |
| 072 | 7 | |a COM012040 |2 bisacsh | |
| 082 | 0 | |a 794.8/1526 |2 23/eng/20230131 | |
| 100 | 1 | |a Engelbrecht, Dylan |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Introduction to Unity ML-Agents |b understand the interplay of neural networks and simulation space using the Unity ML-Agents Package |c Dylan Engelbrecht |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a New York, NY |b Apress |c [2023] | |
| 300 | |a 1 Online-Ressource (213 Seiten) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 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. 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 For Tthose 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. | ||
| 630 | 2 | 0 | |a Unity (Electronic resource) |
| 650 | 0 | |a Video games |x Programming | |
| 650 | 0 | |a Machine learning | |
| 650 | 0 | |a Application software |x Development | |
| 650 | 4 | |a Unity (Electronic resource) | |
| 650 | 4 | |a Jeux vidéo ; Programmation | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Logiciels d'application ; Développement | |
| 650 | 4 | |a Video games ; Programming | |
| 650 | 4 | |a Application software ; Development | |
| 650 | 4 | |a Machine learning | |
| 776 | 1 | |z 1484289978 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1484289978 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781484289983/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-089794664 |
|---|---|
| _version_ | 1821494815628460032 |
| adam_text | |
| any_adam_object | |
| author | Engelbrecht, Dylan |
| author_facet | Engelbrecht, Dylan |
| author_role | aut |
| author_sort | Engelbrecht, Dylan |
| author_variant | d e de |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)089794664 (DE-599)KEP089794664 (ORHE)9781484289983 |
| dewey-full | 794.8/1526 |
| dewey-hundreds | 700 - The arts |
| dewey-ones | 794 - Indoor games of skill |
| dewey-raw | 794.8/1526 |
| dewey-search | 794.8/1526 |
| dewey-sort | 3794.8 41526 |
| dewey-tens | 790 - Recreational and performing arts |
| discipline | Sport |
| edition | [First edition]. |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03215cam a22005292 4500</leader><controlfield tag="001">ZDB-30-ORH-089794664</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228121915.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230322s2023 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484289983</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-4842-8998-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1484289986</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-4842-8998-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089794664</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP089794664</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781484289983</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)089794664</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">UMK</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM012040</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">794.8/1526</subfield><subfield code="2">23/eng/20230131</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Engelbrecht, Dylan</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to Unity ML-Agents</subfield><subfield code="b">understand the interplay of neural networks and simulation space using the Unity ML-Agents Package</subfield><subfield code="c">Dylan Engelbrecht</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Apress</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (213 Seiten)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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. 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 For Tthose 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.</subfield></datafield><datafield tag="630" ind1="2" ind2="0"><subfield code="a">Unity (Electronic resource)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Video games</subfield><subfield code="x">Programming</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Application software</subfield><subfield code="x">Development</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Unity (Electronic resource)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Jeux vidéo ; Programmation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Logiciels d'application ; Développement</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Video games ; Programming</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Application software ; Development</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">1484289978</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1484289978</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781484289983/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-089794664 |
| illustrated | Illustrated |
| indexdate | 2025-01-17T11:20:23Z |
| institution | BVB |
| isbn | 9781484289983 1484289986 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 Online-Ressource (213 Seiten) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Apress |
| record_format | marc |
| spelling | Engelbrecht, Dylan VerfasserIn aut Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package Dylan Engelbrecht [First edition]. New York, NY Apress [2023] 1 Online-Ressource (213 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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 For Tthose 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. Unity (Electronic resource) Video games Programming Machine learning Application software Development Jeux vidéo ; Programmation Apprentissage automatique Logiciels d'application ; Développement Video games ; Programming Application software ; Development 1484289978 Erscheint auch als Druck-Ausgabe 1484289978 |
| spellingShingle | Engelbrecht, Dylan Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package Unity (Electronic resource) Video games Programming Machine learning Application software Development Jeux vidéo ; Programmation Apprentissage automatique Logiciels d'application ; Développement Video games ; Programming Application software ; Development |
| title | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package |
| title_auth | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package |
| title_exact_search | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package |
| title_full | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package Dylan Engelbrecht |
| title_fullStr | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package Dylan Engelbrecht |
| title_full_unstemmed | Introduction to Unity ML-Agents understand the interplay of neural networks and simulation space using the Unity ML-Agents Package Dylan Engelbrecht |
| title_short | Introduction to Unity ML-Agents |
| title_sort | introduction to unity ml agents understand the interplay of neural networks and simulation space using the unity ml agents package |
| title_sub | understand the interplay of neural networks and simulation space using the Unity ML-Agents Package |
| topic | Unity (Electronic resource) Video games Programming Machine learning Application software Development Jeux vidéo ; Programmation Apprentissage automatique Logiciels d'application ; Développement Video games ; Programming Application software ; Development |
| topic_facet | Unity (Electronic resource) Video games Programming Machine learning Application software Development Jeux vidéo ; Programmation Apprentissage automatique Logiciels d'application ; Développement Video games ; Programming Application software ; Development |
| work_keys_str_mv | AT engelbrechtdylan introductiontounitymlagentsunderstandtheinterplayofneuralnetworksandsimulationspaceusingtheunitymlagentspackage |