Proceedings:
Book One
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 19
Track:
SIGART/AAAI Doctoral Consortium
Downloads:
Abstract:
Learning by imitation and learning from demonstration have recently received considerable attention in robotics. However, very little research has been in the direction of providing a quantitative measure of the quality of imitation. We are interested in developing a generalized comprehensive metric that provides a scalar measure of dissimilarity/distance between any pair of action sequences. By developing such a metric, we intend to provide a standardized means to quantitatively evaluate imitation.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 19