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Block-successive approximation for a discounted Markov decision model - MaRDI portal

Block-successive approximation for a discounted Markov decision model (Q2265958)

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Block-successive approximation for a discounted Markov decision model
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    Block-successive approximation for a discounted Markov decision model (English)
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    1985
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    We suggest a new successive approximation method to compute the optimal discounted reward for finite state and action, discrete time, discounted Markov decision chains. The method is based on a block partitioning of the (stochastic) matrices corresponding to the stationary policies. The method is particularly attractive when the transition matrices are jointly nearly decomposable or nearly completely decomposable.
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    successive approximation
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    optimal discounted reward
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    finite state and action, discrete time, discounted Markov decision chains
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    block partitioning
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    stationary policies
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