37 research outputs found

    Nonapproximability Results for Partially Observable Markov Decision Processes

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    We show that for several variations of partially observable Markov decision processes, polynomial-time algorithms for finding control policies are unlikely to or simply don't have guarantees of finding policies within a constant factor or a constant summand of optimal. Here "unlikely" means "unless some complexity classes collapse," where the collapses considered are P=NP, P=PSPACE, or P=EXP. Until or unless these collapses are shown to hold, any control-policy designer must choose between such performance guarantees and efficient computation

    Maintenance of respiratory control in mitochondria after rate zonal centrifugation

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    The respiratory control of rat liver mitochondria is lost when they are subjected to rate zonal centrifugation in a sucrose gradient (8.0% to 46.6%, w/w) at values for ω 2 t necessary for resolution. High sucrose concentration and high ω 2 t are both responsible. Respiratory control can be maintained in iso-osmotic Ficoll + 8.3% sucrose media, and after zonal centrifugation in such media at values of ω 2 t sufficient for resolution.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/44800/1/10863_2005_Article_BF01539061.pd

    Human Intent Prediction Using Markov Decision Processes

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