Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp016t053k07cFull metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | E, Weinan | - |
| dc.contributor.author | Yuan, Matthew | - |
| dc.date.accessioned | 2021-07-27T17:29:43Z | - |
| dc.date.available | 2021-07-27T17:29:43Z | - |
| dc.date.created | 2021-04-30 | - |
| dc.date.issued | 2021-07-27 | - |
| dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp016t053k07c | - |
| dc.description.abstract | In 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.mimetype | application/pdf | |
| dc.language.iso | en | en_US |
| dc.title | Playing Connect6 With Threat Space Search And Temporal Difference Learning | en_US |
| dc.type | Princeton University Senior Theses | |
| pu.date.classyear | 2021 | en_US |
| pu.department | Mathematics | en_US |
| pu.pdf.coverpage | SeniorThesisCoverPage | |
| pu.contributor.authorid | 920013656 | |
| pu.mudd.walkin | No | en_US |
| Appears in Collections: | Mathematics, 1934-2023 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| YUAN-MATTHEW-THESIS.pdf | 461.02 kB | Adobe PDF | Request a copy |
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