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• W2042680115 abstract "The policy iteration method of dynamic programming is studied in an abstract setting. It is shown to be equivalent to the Newton-Kantorovich iteration procedure applied to the functional equation of dynamic programming. This equivalence is used to obtain the rate of convergence and error bounds for the sequence of values generated by policy iteration. These results are discussed in the context of the finite state Markovian decision problem with compact action space. An example is analyzed in detail." @default.
• W2042680115 created "2016-06-24" @default.
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• W2042680115 date "1979-02-01" @default.
• W2042680115 modified "2023-09-26" @default.
• W2042680115 title "On the Convergence of Policy Iteration in Stationary Dynamic Programming" @default.
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• W2042680115 doi "https://doi.org/10.1287/moor.4.1.60" @default.
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