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Goal alignment: re-analyzing value alignment problems using human-aware AI

dc.contributor.authorMechergui, Malek, author
dc.contributor.authorSreedharan, Sarath, advisor
dc.contributor.authorBlanchard, Nathaniel, committee member
dc.contributor.authorPezeshki, Ali, committee member
dc.date.accessioned2024-12-23T11:59:27Z
dc.date.available2024-12-23T11:59:27Z
dc.date.issued2024
dc.description.abstractWhile the question of misspecified objectives has gotten much attention in recent years, most works in this area primarily focus on the challenges related to the complexity of the objective specification mechanism, for example, the use of reward functions. However, the complexity of the objective specification mechanism is just one of many reasons why the user may have misspecified their objective. A foundational cause for misspecification that is being overlooked by the previous works is the inherent asymmetry in human expectations about the agent's behavior and the behavior generated by the agent for the specified objective. To address this, we propose a novel formulation for the objective misspecification problem that builds on the human-aware planning literature, which was originally introduced to support explanation and explicable behavioral generation. Additionally, we propose a first-of-its-kind interactive algorithm that is capable of using information generated under incorrect beliefs about the agent to determine the true underlying goal of the user.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierMechergui_colostate_0053N_18653.pdf
dc.identifier.urihttps://hdl.handle.net/10217/239766
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectplanning
dc.subjecthuman-aware AI
dc.subjectvalue alignment
dc.titleGoal alignment: re-analyzing value alignment problems using human-aware AI
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineComputer Science
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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