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|a Q325.5
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|a Buttfield-Addison, Paris
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|a Game engines and machine learning
|c Paris Buttfield-Addison, Mars Geldard, Tim Nugent
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|a [Place of publication not identified]
|b O'Reilly
|c 2019
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|a 1 streaming video file (41 min., 37 sec.)
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|a Unity (Electronic resource) / fast
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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|a Jeux vidéo / Programmation
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|a Unity (Electronic resource) / http://id.loc.gov/authorities/names/n2011038776
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|a Machine learning / fast
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|a Computer games / Design / fast
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|a Apprentissage automatique
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|a Jeux vidéo / Conception
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|a Video games / Programming / http://id.loc.gov/authorities/subjects/sh95003476
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|a Video games / Programming / fast
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|a Video games / Design
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|a Geldard, Mars
|e on-screen presenter
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|a Nugent, Tim
|e on-screen presenter
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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|a Title from title screen (viewed November 14, 2019). - Recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York
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|z 0636920339465
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|u https://learning.oreilly.com/videos/~/0636920339489/?ar
|x Verlag
|3 Volltext
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|a 000
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|a 745.4
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|a "Games are wonderful contained problem spaces, making them great places to explore AI--even if you're not a game developer. Paris Buttfield-Addison (Secret Lab Pty. Ltd.), Mars Geldard (University of Tasmania), and Tim Nugent (lonely.coffee) teach you how to use Unity to train, explore, and manipulate intelligent agents that learn. You'll train a quadruped to walk, then train it to explore, fetch, and manipulate the world. It's a little bit technical, a little bit creative. Join Paris, Mars, and Tim to learn how to use game technologies such as Unity to further your understanding of machine learning fundamentals and solve problems."--Resource description page
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