Game engines and machine learning

"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, an...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly Artificial Intelligence Conference (-)
Otros Autores: Buttfield-Addison, Paris, on-screen presenter (onscreen presenter), Geldard, Mars, on-screen presenter, Nugent, Tim, on-screen presenter
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly 2019.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822786606719
Descripción
Sumario:"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.
Notas:Title from title screen (viewed November 14, 2019).
Descripción Física:1 online resource (1 streaming video file (41 min., 37 sec.)) : digital, sound, color