Augmentation-Based Learning

We describe Augmentation-Based Learning, a new learning algorithm for Programming-by-Demonstration that allows the user to explicitly edit the procedure model even while demonstrating a task. We discuss the problems faced by learning algorithms that support seamless alternation of editing and demonstrations, and show how Augmentation-Based Learning solves them, while at the same time capturing complex procedure models with no additional user intervention.

By: Vittorio Castelli; Daniel Oblinger; Lawrence D. Bergman

Published in: RC23999 in 2006


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