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Skill acquisition through program-level imitation in a real-time domain

Submitted by Jason Rutter on Sat, 30/06/2007 - 09:04.
Tags:
Publication Type  Journal Article
Year of Publication  2007
Authors  Wood, M. A.; Bryson, J. J.
Journal Title  IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume  37
Pagination  272-285
Key Words  Computer games; Program-level imitation; Representation; Social learning; algorithm; artificial intelligence; biomimetics; imitation; psychomotor performance; robotics; Algorithms; Imitative Behavior
Abstract  

This paper presents an imitation learning system capable of learning tasks in a complex dynamic real-time environment. In this paper, we argue that social learning should be thought of as a special case of general skill learning, and that the biases it presents to the skill learning problem radically simplify learning for species with sufficient innate predisposition to harness this power. We decompose skill learning into four subproblems, then show how a modification of Roy's CELL system can address all these problems simultaneously. Our system is demonstrated working in the domain of a real-time virtual-reality game, Unreal Tournament.
URL  http://www.cs.bath.ac.uk/~cspmaw/ieeesmcb.pdf

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