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On the General Utility of Discounted Markov Decision Processes
Author(s) -
Kadota Y.,
Kurano M.,
Yasuda M.
Publication year - 1998
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/j.1475-3995.1998.tb00099.x
Subject(s) - markov decision process , computer science , partially observable markov decision process , expected utility hypothesis , markov chain , optimal stopping , mathematical optimization , markov model , markov process , decision theory , decision problem , optimal decision , decision analysis , mathematical economics , mathematics , decision tree , artificial intelligence , machine learning , algorithm , statistics
We will discuss an expected utility of rewards which are generated by Markov decision processes. This is applied to the optimal stopping problem with a utility treatment. Also a combined model of the decision processes and the stopping problem, called a stopped Markov decision, is considered under the utility.