Paper Info
Title
An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment.
Abstract
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.
Year
DOI
Venue
2011
10.1609/aimag.v32i2.2336
AI MAGAZINE
Keywords
Field
DocType
artificial intelligence
Football,Software deployment,Intelligent decision support system,Computer science,Simulation,Artificial intelligence,Multimedia,Generality
Journal
Volume
Issue
ISSN
32
2
0738-4602
Citations 
PageRank 
References 
14
0.83
15
Authors
8
Name
Order
Citations
PageRank
David J. Stracuzzi19125.68
Alan Fern21528111.59
Kamal Ali3212.20
Robin Hess4482.49
Jervis Pinto5647.05
Nan Li6232.23
Tolga Könik7868.21
Daniel G. Shapiro818788.21