Abstract
This paper examines several serial value iteration solution algorithms for Markov decision processes and develops efficient analogous parallel algorithms. The results include a comparison of the computational performance of both the serial and the parallel algorithms and explain how the performance depends upon the properties of the problems being solved.
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