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Learning how to act: making good decisions with machine learning

Lattimore, Finnian Rachel

Description

This thesis is about machine learning and statistical approaches to decision making. How can we learn from data to anticipate the consequence of, and optimally select, interventions or actions? Problems such as deciding which medication to prescribe to patients, who should be released on bail, and how much to charge for insurance are ubiquitous, and have far reaching impacts on our lives. There are two fundamental approaches to learning how to act:...[Show more]

CollectionsOpen Access Theses
Date published: 2017
Type: Thesis (PhD)
URI: http://hdl.handle.net/1885/144602

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