425 search results - page 45 / 85 » Using Stochastic Grammars to Learn Robotic Tasks |
109
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ROBOCUP
2009
Springer
15 years 8 months ago
2009
Springer
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
102
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IROS
2008
IEEE
15 years 7 months ago
2008
IEEE
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
120
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HRI
2007
ACM
15 years 5 months ago
2007
ACM
Learning by demonstration can be a powerful and natural tool for developing robot control policies. That is, instead of tedious hand-coding, a robot may learn a control policy by ...
104
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IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
—Since machine learning has become a tool to make more efficient design of sophisticated systems, we present in this paper a novel methodology to create powerful neural network ...
103
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IJCAI
1989
15 years 2 months ago
1989
This paper describes an approach to robotic control that is patterned after models of human skill acquisition. The intent is to develop robots capable of learning how to accomplis...