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Interactions between learning and decision making

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dc.contributor.advisor Cynthia Rudin. en_US
dc.contributor.author Tulabandhula, Theja en_US
dc.contributor.other Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. en_US
dc.date.accessioned 2015-01-20T17:59:54Z
dc.date.available 2015-01-20T17:59:54Z
dc.date.copyright 2014 en_US
dc.date.issued 2014 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/93070
dc.description Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014. en_US
dc.description Cataloged from PDF version of thesis. en_US
dc.description Includes bibliographical references (pages 253-263). en_US
dc.description.abstract We quantify the effects of learning and decision making on each other in three parts. In the first part, we look at how knowledge about decision making can influence learning. Let the decision cost be the amount spent by the practitioner in executing a policy. If we have prior knowledge about this cost, for instance that it should be low, then this knowledge can help restrict the hypothesis space for learning, which can help with its generalization. We derive a suite of theoretical generalization bounds and an algorithm for this setting. In the second part, we look at how knowledge about learning can influence decision making. We study this in the context of robust optimization. Taking the uncertainty of learning the right model into account, we derive multiple probabilistic guarantees on the robustness of the resulting policy. In the last part, we explore the interactions between learning and decision making in depth for two applications. The first application is in the area of power grid maintenance and the second is in the area of professional racing. We provide tailored solutions for modeling, predicting and making decisions in each context. en_US
dc.description.statementofresponsibility by Theja Tulabandhula. en_US
dc.format.extent 263 pages en_US
dc.language.iso eng en_US
dc.publisher Massachusetts Institute of Technology en_US
dc.rights M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. en_US
dc.rights.uri http://dspace.mit.edu/handle/1721.1/7582 en_US
dc.subject Electrical Engineering and Computer Science. en_US
dc.title Interactions between learning and decision making en_US
dc.type Thesis en_US
dc.description.degree Ph. D. en_US
dc.contributor.department Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. en_US
dc.identifier.oclc 900005872 en_US


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