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
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