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Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp016t053k07c
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dc.contributor.advisorE, Weinan-
dc.contributor.authorYuan, Matthew-
dc.date.accessioned2021-07-27T17:29:43Z-
dc.date.available2021-07-27T17:29:43Z-
dc.date.created2021-04-30-
dc.date.issued2021-07-27-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp016t053k07c-
dc.description.abstractIn this paper we combine threat space search (TSS) and temporal difference (TD) learning to create three bots for the board game Connect6. By using TD learning to train a novel evaluation function based on a neural network, our best bot, Bryony, performs better than 89% of all Connect6 players on the board game website Little Golem (littlegolem.net).en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.titlePlaying Connect6 With Threat Space Search And Temporal Difference Learningen_US
dc.typePrinceton University Senior Theses
pu.date.classyear2021en_US
pu.departmentMathematicsen_US
pu.pdf.coverpageSeniorThesisCoverPage
pu.contributor.authorid920013656
pu.mudd.walkinNoen_US
Appears in Collections:Mathematics, 1934-2021

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