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An Argument for the Bayesian Control of Partially Observable Markov Decision Processes

contributor authorVargo, Erik
contributor authorCogill, Randy
date accessioned2020-03-12T23:55:27Z
date available2020-03-12T23:55:27Z
date issued2014
identifier issn0018-9286
identifier other6781561.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1128218?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Argument for the Bayesian Control of Partially Observable Markov Decision Processes
typeJournal Paper
contenttypeMetadata Only
identifier padid8308326
subject keywordsBayes methods
subject keywordsadaptive control
subject keywordsdecision theory
subject keywordshidden Markov models
subject keywordsoptimal control
subject keywordsstochastic systems
subject keywordsBayes-adaptive Markov decision process
subject keywordsBayesian control
subject keywordsadaptive control
subject keywordshidden Markov model parameters
subject keywordsoptimal Bayes optimal policy
subject keywordsoptimal control policy
subject keywordspartially observable Markov decision processes
subject keywordspoint estimate
subject keywordsstochastic optimal control
subject keywordsAdaptation models
subject keywordsBayes methods
subject keywordsComputational modeling
subject keywordsHidden Markov models
subject keywordsMarkov processes
subject keywordsStandards
subject keywordsUncertainty
subject keywordsAdaptive contro
identifier doi10.1109/TAC.2014.2314527
journal titleAutomatic Control, IEEE Transactions on
journal volume59
journal issue10
filesize169040
citations0


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