Aaron P. Shon, David B. Grimes, Chris L. Baker, Rajesh P. N. Rao, Andrew N. Meltzoff  Home/Search
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Abstract: Imitation o#ers a powerful mechanism for knowledge acquisition, particularly for intelligent agents (like infants) that lack the ability to transfer knowledge using language. Several algorithms and models have recently been proposed for imitation learning in humans and robots. However, few proposals o#er a framework for imitation learning in noisy stochastic environments where the imitator must learn and act under real-time performance constraints. In this paper, we present a novel... (Update)
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1.4: A Bayesian Model of Imitation in Infants and Robots - Rao, Shon, Meltzoff (2004) (Correct)
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BibTeX entry: (Update)
@misc{ shon-modelbased,
author = "Aaron P. Shon and David B. Grimes and Chris L. Baker and Rajesh P. N. Rao
and Andrew N. Meltzoff",
title = "A Model-Based Goal-Directed Bayesian Framework for Imitation Learning in
Humans and Machines",
url = "citeseer.ist.psu.edu/shon04modelbased.html" }
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