77 search results - page 9 / 16 » Natural methods for robot task learning: instructive demonst... |
NN
2008
Springer
13 years 7 months ago
2008
Springer
Reservoir Computing (RC) techniques use a fixed (usually randomly created) recurrent neural network, or more generally any dynamic system, which operates at the edge of stability,...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing informa...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...
HRI
2006
ACM
14 years 1 months ago
2006
ACM
Programming robots to carry out useful tasks is both a complex and non-trivial exercise. A simple and intuitive method to allow humans to train and shape robot behaviour is clearl...