2012
DOI: 10.48550/arxiv.1209.4019
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Experimental design for Partially Observed Markov Decision Processes

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“…There is also room to design experiments that would yield behavior in which missing state variables, such as the second algal population in the chemostat data, is more readily detected by the tests proposed here. Hooker, Lin and Rogers (2015) and Thorbergsson and Hooker (2013) present some experimental design methods for dynamical systems in which inputs are perturbed so that observations yield optimal information about parameters of interest. Mork work is needed to adapt these techniques to our tests.…”
mentioning
confidence: 99%
“…There is also room to design experiments that would yield behavior in which missing state variables, such as the second algal population in the chemostat data, is more readily detected by the tests proposed here. Hooker, Lin and Rogers (2015) and Thorbergsson and Hooker (2013) present some experimental design methods for dynamical systems in which inputs are perturbed so that observations yield optimal information about parameters of interest. Mork work is needed to adapt these techniques to our tests.…”
mentioning
confidence: 99%