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Markovian Decision Processes (Semi-Markov and Markov) with Complete Information (Completely Observable)

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Decision Processes in Dynamic Probabilistic System

Part of the book series: Mathematics and its Applications () ((MAEE,volume 42))

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Abstract

In Figure 4.1(a) a diagrammatic representation of a semi-Markov decision process is presented; special attention to transition probabilities \( \left[ {\mathop p\nolimits_{ij,}^k } \right]\) and waiting time probabilities \( \mathop h\nolimits_{ij(m)}^k \) is given. A corresponding decision tree for a completely observable semi-Markov process is presented in Figure 4.1(b)

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© 1990 Kluwer Academic Publishers

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Gheorghe, A.V. (1990). Markovian Decision Processes (Semi-Markov and Markov) with Complete Information (Completely Observable). In: Decision Processes in Dynamic Probabilistic System. Mathematics and its Applications (East European Series), vol 42. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0493-4_4

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  • DOI: https://doi.org/10.1007/978-94-009-0493-4_4

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6708-9

  • Online ISBN: 978-94-009-0493-4

  • eBook Packages: Springer Book Archive

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