Abstract
POMs or models with incomplete information are more general than the Bayesian models from the previous chapter. We introduce the associated MDPD′ and state the basic theorem for POMs. A classical maintenance problem illustrates the solution technique.
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Hinderer, K., Rieder, U., Stieglitz, M. (2016). Partially Observable Models. In: Dynamic Optimization. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-48814-1_26
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DOI: https://doi.org/10.1007/978-3-319-48814-1_26
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48813-4
Online ISBN: 978-3-319-48814-1
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