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WRAC
2005
Springer
13 years 10 months ago
Autonomy Without Independence: Animal Training as a Model for Robot Design
A classic autonomous robot is an autonomous agent for open, unpredictable environments. Such an agent is inherently autonomous but not independent. Independence implies unpredictab...
David C. Wyland
ATAL
2007
Springer
13 years 8 months ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
ATAL
2007
Springer
13 years 11 months ago
Conditional random fields for activity recognition
Activity recognition is a key component for creating intelligent, multi-agent systems. Intrinsically, activity recognition is a temporal classification problem. In this paper, we...
Douglas L. Vail, Manuela M. Veloso, John D. Laffer...