Non-restricted Winter 2026 convocation theses and dissertations will be discoverable in ERA on March 16. Congratulations to all our graduates!

A standard benchmarking system for reinforcement learning

dc.contributor.authorWhite, Adam Murray
dc.date.accessioned2025-05-29T00:21:57Z
dc.date.available2025-05-29T00:21:57Z
dc.date.issued2006
dc.identifier.doihttps://doi.org/10.7939/r3-qmcs-zb61
dc.language.isoen
dc.rightsThis thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
dc.subjectReinforcement learning (Machine learning). Evaluation.
dc.titleA standard benchmarking system for reinforcement learning
dc.typehttp://purl.org/coar/resource_type/c_46ec
thesis.degree.grantorhttp://id.loc.gov/authorities/names/n79058482
thesis.degree.levelMaster's
thesis.degree.nameMaster of Science
ual.date.graduation2006
ual.departmentDepartment of Computing Science
ual.jupiterAccesshttp://terms.library.ualberta.ca/public

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