Articoli correlati a Procedural Content Generation via Machine Learning:...
- EditoreSpringer
- Data di pubblicazione2023
- ISBN 10 303116721X
- ISBN 13 9783031167218
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero edizione1
- Numero di pagine252
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Procedural Content Generation via Machine Learning
Editore:
Springer International Publishing, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses the growing academic interest in PCGML Demonstrates common pitfalls in PCGML projects and how to avoid themProvides resources and guidance for starting new PCGML projectsMatthew Guzdial, Ph.D, is an Assistant Professor in . Codice articolo 1241470853
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Procedural Content Generation via Machine Learning
Editore:
Berlin Springer International Publishing Springer, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project. 238 pp. Englisch. Codice articolo 9783031167218
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Procedural Content Generation via Machine Learning : An Overview
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project. Codice articolo 9783031167218
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Condizione: New. In. Codice articolo ria9783031167218_new
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Print on DemandDa: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18398710159
Quantità: 4 disponibili
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Procedural Content Generation via Machine Learning: An Overview (Synthesis Lectures on Games and Computational Intelligence)
Print on DemandDa: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 397699674
Quantità: 4 disponibili
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Procedural Content Generation Via Machine Learning: An Overview
Editore:
Springer-Nature New York Inc, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Paperback
Da: Revaluation Books, Exeter, Regno Unito
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Paperback. Condizione: Brand New. 251 pages. 9.45x6.61x0.57 inches. In Stock. Codice articolo x-303116721X
Quantità: 2 disponibili
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Procedural Content Generation via Machine Learning (Paperback)
Editore:
Springer International Publishing AG, Cham, 2023
ISBN 10: 303116721X
ISBN 13: 9783031167218
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Paperback
Da: CitiRetail, Stevenage, Regno Unito
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Paperback. Condizione: new. Paperback. This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). Machine learning is having a major impact on many industries, including the video game industry. PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. The authors illustrate how PCGML is poised to transform the video games industry and provide the first ever beginner-focused guide to PCGML. This book features an accessible introduction to machine learning topics, and readers will gain a broad understanding of currently employed PCGML approaches in academia and industry. The authors provide guidance on how best to set up a PCGML project and identify open problems appropriate for a research project or thesis. This book is written with machine learning and games novices in mind and includes discussions of practical and ethical considerations along with resources and guidance for starting a new PCGML project. This book surveys current and future approaches to generating video game content with machine learning or Procedural Content Generation via Machine Learning (PCGML). PCGML addresses the use of computers to generate new types of content for video games (game levels, quests, characters, etc.) by learning from existing content. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9783031167218
Quantità: 1 disponibili