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SLHAP : Simultaneous Learning of Hierarchy and Primitive:

, In: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction,

Mohseni-Kabir, Anahita ; Li, Changshuo ; Wu, Victoria... - p. 412 ff. , 2017

Link: https://dl.acm.org/doi/10.1145/3029798.3036641

RT 
T1 <cTitle>Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction</cTitle>: T1 <Title>SLHAP				: Simultaneous Learning of Hierarchy and Primitives</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3036641&Exemplar=1&LAN=DE
				
A1 Mohseni-Kabir, Anahita
A1 Li, Changshuo
A1 Wu, Victoria
A1 Miller, Daniel
A1 Hylak, Benjamin
A1 Chernova, Sonia
A1 Berenson, Dmitry
A1 Sidner, Candace
A1 Rich, Charles
PB ACM
YR 2017
K1 hierarchical task networks
K1 human robot interaction
K1 learning by instructions
K1 learning from demonstration
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Interaction paradigms
K1 Collaborative interaction
K1 Computer systems organization
K1 Embedded and cyber-physical systems
K1 Robotics
K1 Robotic autonomy
K1 Computing methodologies
K1 Machine learning
K1 Learning settings
K1 Learning from demonstrations
SP 412 ff.
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3029798.3036641
DO https://dl.acm.org/doi/10.1145/3029798.3036641
SF ELIB - SuUB Bremen

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