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Absorbing Dynamic Programs and Acyclic Networks

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Dynamic Optimization

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Abstract

We study the problem of maximizing the sum of discounted rewards, earned not over a fixed number of periods, but until the decision process enters a given absorbing set. The basic theorem for absorbing DPs is derived. Moreover, we show how absorbing DPs can be used to find cost-minimal subpaths in acyclic networks.

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Hinderer, K., Rieder, U., Stieglitz, M. (2016). Absorbing Dynamic Programs and Acyclic Networks. In: Dynamic Optimization. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-48814-1_5

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