A nonlinear programming model for partially observable Markov decision processses: Finite horizon case

The concept of partially observable Markov decision processes were born to handle the problem of lack of information about the state of a Markov decision process. If the state of the system is unknown to the decision maker then an obvious approach is to gather information that is helpful in selectin...

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Veröffentlicht in:	European journal of operational research 1995-11, Vol.86 (3), p.549
1. Verfasser:	Serin, Yasemin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Markov analysis Mathematical models Nonlinear programming Operations research Statistical analysis
Online-Zugang:	Volltext
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