October 2019
Intermediate
41m
English
conference
Game engines and machine learning
by Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent
Closed Captioning available in German, English, Spanish, French, Japanese, Korean, Portuguese (Portugal, Brazil), Chinese (Simplified), Chinese (Traditional)
Overview
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.
Topics include:
- How video game engines are a perfect environment to constrain a problem and train an agent
- How easy it is to get started, using Unity
- How to build up a model and use it in the engine to explore a particular idea or problem
This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
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