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On-policy Q-learning for adaptive optimal control

contributor authorJha, Sumit Kumar
contributor authorBhasin, Shubhendu
date accessioned2020-03-12T22:27:46Z
date available2020-03-12T22:27:46Z
date issued2014
identifier other7010649.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1083849?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleOn-policy Q-learning for adaptive optimal control
typeConference Paper
contenttypeMetadata Only
identifier padid8221078
subject keywordslearning (artificial intelligence)
subject keywordsn LLE
subject keywordsn OMP
subject keywordsn data point
subject keywordsn dimension reduction
subject keywordsn incremental learning
subject keywordsn linear coefficients
subject keywordsn linear patch
subject keywordsn local geometry
subject keywordsn locally linear embedding algorithm
subject keywordsn nonlinear dimensionality reduction algorithms
subject keywordsn orthogonal matching pursuit
subject keywordsn Conferences
subject keywordsn Joints
subject keywordsn Neural networks
identifier doi10.1109/IJCNN.2014.6889460
journal titledaptive Dynamic Programming and Reinforcement Learning (ADPRL), 2014 IEEE Symposium on
filesize271664
citations0


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