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Partial-Information State-Based Optimization of Partially Observable Markov Decision Processes and the Separation Principle

contributor authorXi-Ren Cao
contributor authorDe-Xin Wang
contributor authorLi Qiu
date accessioned2020-03-12T18:42:53Z
date available2020-03-12T18:42:53Z
date issued2014
identifier issn0018-9286
identifier other6725632.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/967853?show=full
formatgeneral
languageEnglish
publisherIEEE
titlePartial-Information State-Based Optimization of Partially Observable Markov Decision Processes and the Separation Principle
typeJournal Paper
contenttypeMetadata Only
identifier padid8001890
subject keywordsMarkov processes
subject keywordsdecision theory
subject keywordsiterative methods
subject keywordsoptimisation
subject keywordsstatistical analysis
subject keywordsHJB-type optimality equation
subject keywordsPOMDP
subject keywordsQ-sufficient statistics
subject keywordsdiscrete event dynamic systems
subject keywordsinformation history
subject keywordslong-run average performance
subject keywordspartial-information state-based optimization approach
subject keywordspartially observable Markov decision processes
subject keywordspolicy iteration
subject keywordsseparation principle
subject keywordssingle-policy based comparison principle
subject keywordsEquations
subject keywordsHistory
subject keywordsMarkov processes
subject keywordsMathematical model
subject keywordsOptimization
subject keywordsProbabil
identifier doi10.1109/TAC.2013.2293397
journal titleAutomatic Control, IEEE Transactions on
journal volume59
journal issue4
filesize957313
citations0


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