ML Anthology

A Correspondence Metric for Imitation

R. Amit, Maja J. Mataric
AAAI 2004 pp. 944-945
/aaai/2004/amit2004aaai-correspondence/

Abstract

Learning by imitation is a powerful form of learning. Differ-ent forms of imitation, like mimicry, copying, response fa-cilitation, etc. have been studied extensively (Miklosi 1999). Recent research in robotics has begun to explore imitation as

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Text

Amit and Mataric. "A Correspondence Metric for Imitation." AAAI Conference on Artificial Intelligence, 2004.

Markdown

[Amit and Mataric. "A Correspondence Metric for Imitation." AAAI Conference on Artificial Intelligence, 2004.](https://mlanthology.org/aaai/2004/amit2004aaai-correspondence/)

BibTeX

@inproceedings{amit2004aaai-correspondence,
  title     = {{A Correspondence Metric for Imitation}},
  author    = {Amit, R. and Mataric, Maja J.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2004},
  pages     = {944-945},
  url       = {https://mlanthology.org/aaai/2004/amit2004aaai-correspondence/}
}