A Transfer Learning Framework for Human-Centric Deep Reinforcement Learning with Reward Engineering.

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dc.contributor.advisorMin Chi, Chair
dc.contributor.advisorTiffany Barnes, Member
dc.contributor.advisorJonathan Rowe, Member
dc.contributor.advisorRui Song, Member
dc.contributor.authorSanz Ausin, Markel
dc.date.accepted2021-11-24
dc.date.accessioned2021-12-02T13:30:23Z
dc.date.available2021-12-02T13:30:23Z
dc.date.defense2021-05-03
dc.date.issued2021-05-03
dc.date.released2021-12-02
dc.date.reviewed2021-05-11
dc.date.submitted2021-05-06
dc.degree.disciplineComputer Science
dc.degree.leveldissertation
dc.degree.nameDoctor of Philosophy
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatPh.D. North Carolina State University, 2021.
dc.identifier.otherdeg25422
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/39307
dc.titleA Transfer Learning Framework for Human-Centric Deep Reinforcement Learning with Reward Engineering.
dcterms.extent1 online resource (xii, 175 pages) : illustrations (some color)

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