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Risk-averse reinforcement learning for algorithmic trading

contributor authorYun Shen
contributor authorRuihong Huang
contributor authorChang Yan
contributor authorObermayer, K.
date accessioned2020-03-12T21:05:14Z
date available2020-03-12T21:05:14Z
date issued2014
identifier other6924100.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1036528?show=full
formatgeneral
languageEnglish
publisherIEEE
titleRisk-averse reinforcement learning for algorithmic trading
typeConference Paper
contenttypeMetadata Only
identifier padid8162738
subject keywordsKalman filters
subject keywordsdiseases
subject keywordsfield programmable gate arrays
subject keywordsneural nets
subject keywordsnonlinear filters
subject keywordspatient monitoring
subject keywordsrecurrent neural nets
subject keywordsCGM device
subject keywordsEKF
subject keywordsFPGA neural identifier
subject keywordsRHONN
subject keywordsT1DM patients
subject keywordscontinuous glucose monitoring device
subject keywordsdiscrete-time neural model
subject keywordsextended Kalman filter
subject keywordsfield programmable gate array
subject keywordsinsulin-glucose dynamics
subject keywordsneural model
subject keywordsnonlinear behavior
subject keywordson-line neural identifier
subject keywordsrecurrent high-order neural network
subject keywordstype 1 diabetes mellitus patients
subject keywordsDiabetes
subject keywordsField programm
identifier doi10.1109/WAC.2014.6936098
journal titleomputational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conferenc
filesize297545
citations2


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