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Policy search for learning robot control using sparse data

date accessioned2020-03-12T20:48:35Z
date available2020-03-12T20:48:35Z
date issued2014
identifier other6907422.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1026286?show=full
formatgeneral
languageEnglish
publisherIEEE
titlePolicy search for learning robot control using sparse data
typeConference Paper
contenttypeMetadata Only
identifier padid8151310
subject keywordsdiseases
subject keywordselectroencephalography
subject keywordsmedical signal processing
subject keywordssignal classification
subject keywordsapplied wavelet bicoherence analysis
subject keywordsfrequency 30 Hz to 80 Hz
subject keywordsgamma bicoherence
subject keywordsgamma frequency band
subject keywordshuman epileptic brain
subject keywordshuman iEEG data
subject keywordsictal identifier
subject keywordsnonlinear frequency interactions
subject keywordsnonseizure state
subject keywordsseizure activity
subject keywordsseizures
subject keywordsCouplings
subject keywordsEigenvalues and eigenfunctions
subject keywordsElectrodes
subject keywordsEpilepsy
subject keywordsOscillators
subject keywordsWavelet analysis
subject keywordsWavelet transforms
identifier doi10.1109/EMBC.2014.6944613
journal titleobotics and Automation (ICRA), 2014 IEEE International Conference on
filesize2101110
citations0
contributor rawauthorBischoff, B. , Nguyen-Tuong, D. , van Hoof, H. , McHutchon, A. , Rasmussen, C.E. , Knoll, A. , Peters, J. , Deisenroth, M.P.


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