An application of transfer to American football: from observation of raw video to control in a simulated environment.(Report): An article from: AI Magazine Review
This digital document is an article from AI Magazine, published by American Association for Artificial Intelligence on June 22, 2011. The length of the article is 12256 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: Automatic transfer of learned knowledge from one task or domain to another offers great potential to simplify and expedite the construction and deployment of intelligent systems. In practice however, there are many barriers to achieving this goal. In this article, we present a prototype system for the real-world context of transferring knowledge of American football from video observation to control in a game simulator. We trace an example play from the raw video through execution and adaptation in the simulator, highlighting the system's component algorithms along with issues of complexity, generality, and scale. We then conclude with a discussion of the implications of this work for other applications, along with several possible improvements.
Citation DetailsTitle: An application of transfer to American football: from observation of raw video to control in a simulated environment.(Report)
Author: David J. Stracuzzi
Publication:AI Magazine (Magazine/Journal)
Date: June 22, 2011
Publisher: American Association for Artificial Intelligence
Volume: 32
Issue: 2
Page: 107(19)
Article Type: Report
Distributed by Gale, a part of Cengage Learning
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