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COLT
2000
Springer
14 years 2 months ago
Relative Expected Instantaneous Loss Bounds
Jürgen Forster, Manfred K. Warmuth
NIPS
2008
13 years 11 months ago
Policy Search for Motor Primitives in Robotics
Many motor skills in humanoid robotics can be learned using parametrized motor primitives as done in imitation learning. However, most interesting motor learning problems are high...
Jens Kober, Jan Peters
IJCNN
2006
IEEE
14 years 4 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
14 years 4 months ago
Modeling and recognition of actions through motor primitives
— We investigate modeling and recognition of object manipulation actions for the purpose of imitation based learning in robotics. To model the process, we are using a combination...
David Martínez Mercado, Danica Kragic