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IROS
2006
IEEE
119views Robotics» more  IROS 2006»
13 years 10 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
ICML
2006
IEEE
14 years 5 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik
IJCAI
2007
13 years 6 months ago
Representations for Action Selection Learning from Real-Time Observation of Task Experts
The association of perception and action is key to learning by observation in general, and to programlevel task imitation in particular. The question is how to structure this info...
Mark A. Wood, Joanna Bryson
WEBI
2010
Springer
13 years 2 months ago
Learning Task Specific Web Services Compositions with Loops and Conditional Branches from Example Executions
Majority of the existing approaches to service composition, including the widely popular planning based techniques, are not able to automatically compose practical workflows that ...
Harini Veeraraghavan, Roman Vaculín, Manuel...
ICML
2010
IEEE
13 years 5 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping