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# Contributing
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Pull requests are welcome, as long as they follow these simple guidelines:
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Suggestions for new resources are welcome, as long as they follow these simple
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guidelines:
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1. Links must be to the DOI (or arXiV), or the canonical reference page in that order. Prefer the original title as much as possible.
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1. Try to avoid low-information research (posters/presentations) unless the topic is not covered elsewhere in a better medium.
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1. Links must be to the DOI (or arXiV), or the canonical reference page in that
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order. Prefer the original title as much as possible.
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1. Try to avoid low-information research (posters/presentations) unless the
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topic is not covered elsewhere in a better medium.
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Please note we have a code of conduct, please follow it in all your interactions with the project.
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Please note we have a code of conduct, please follow it in all your interactions
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with the project.
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### How to make a submission
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You can send us a link by [creating a new issue](https://github.com/captn3m0/boardgame-research/issues/new/choose) on GitHub
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or [sending me an email](https://captnemo.in/contact/) with the details.
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You can send us a link by
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[creating a new issue](https://github.com/captn3m0/boardgame-research/issues/new/choose)
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on GitHub or [sending me an email](https://captnemo.in/contact/) with the
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details.
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@ -306,6 +306,7 @@ If you aren't able to access any paper on this list, please [try using Sci-Hub](
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- [Strategic Dialogue Management via Deep Reinforcement Learning](http://arxiv.org/abs/1511.08099) (journalArticle)
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- [Strategic Dialogue Management via Deep Reinforcement Learning](http://arxiv.org/abs/1511.08099) (journalArticle)
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- [Analysis of 'The Settlers of Catan' Using Markov Chains](https://repository.tcu.edu/handle/116099117/49062) (thesis)
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- [Learning to Play Settlers of Catan with Deep Reinforcement Learning](https://settlers-rl.github.io/) (blogPost)
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# Shobu
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- [Shobu AI Playground](https://github.com/JayWalker512/Shobu) (computerProgram)
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@ -8940,6 +8940,9 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
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</rdf:li>
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</rdf:Seq>
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</bib:authors>
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<link:link rdf:resource="#item_575"/>
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<link:link rdf:resource="#item_576"/>
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<link:link rdf:resource="#item_577"/>
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<dc:subject>
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<z:AutomaticTag>
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<rdf:value>Computer Science - Artificial Intelligence</rdf:value>
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@ -8968,6 +8971,63 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
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<dcterms:dateSubmitted>2022-03-26 04:22:52</dcterms:dateSubmitted>
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<dc:description>arXiv: 2203.11656</dc:description>
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</bib:Article>
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<z:Attachment rdf:about="#item_575">
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<z:itemType>attachment</z:itemType>
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<dc:title>arXiv Fulltext PDF</dc:title>
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<dc:identifier>
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<dcterms:URI>
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<rdf:value>https://arxiv.org/pdf/2203.11656.pdf</rdf:value>
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</dcterms:URI>
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</dc:identifier>
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<dcterms:dateSubmitted>2022-03-26 04:24:09</dcterms:dateSubmitted>
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<z:linkMode>1</z:linkMode>
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<link:type>application/pdf</link:type>
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</z:Attachment>
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<z:Attachment rdf:about="#item_576">
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<z:itemType>attachment</z:itemType>
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<dc:title>arXiv.org Snapshot</dc:title>
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<dc:identifier>
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<dcterms:URI>
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<rdf:value>https://arxiv.org/abs/2203.11656</rdf:value>
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</dcterms:URI>
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</dc:identifier>
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<dcterms:dateSubmitted>2022-03-26 04:24:17</dcterms:dateSubmitted>
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<z:linkMode>1</z:linkMode>
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<link:type>text/html</link:type>
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</z:Attachment>
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<z:Attachment rdf:about="#item_577">
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<z:itemType>attachment</z:itemType>
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<dc:title>Full Text</dc:title>
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<dc:identifier>
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<dcterms:URI>
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<rdf:value>https://arxiv.org/pdf/2203.11656.pdf</rdf:value>
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</dcterms:URI>
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</dc:identifier>
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<dcterms:dateSubmitted>2022-03-26 04:24:21</dcterms:dateSubmitted>
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<z:linkMode>1</z:linkMode>
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<link:type>application/pdf</link:type>
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</z:Attachment>
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<bib:Document rdf:about="https://settlers-rl.github.io/">
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<z:itemType>blogPost</z:itemType>
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<dcterms:isPartOf>
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<z:Blog></z:Blog>
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</dcterms:isPartOf>
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<bib:authors>
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<rdf:Seq>
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<rdf:li>
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<foaf:Person>
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<foaf:surname>Henry Charlesworth</foaf:surname>
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</foaf:Person>
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</rdf:li>
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</rdf:Seq>
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</bib:authors>
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<dc:title>Learning to Play Settlers of Catan with Deep Reinforcement Learning</dc:title>
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<dc:identifier>
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<dcterms:URI>
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<rdf:value>https://settlers-rl.github.io/</rdf:value>
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</dcterms:URI>
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</dc:identifier>
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</bib:Document>
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<z:Collection rdf:about="#collection_6">
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<dc:title>2048</dc:title>
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<dcterms:hasPart rdf:resource="https://doi.org/10.1007%2F978-3-319-50935-8_8"/>
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@ -9242,6 +9302,7 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
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<dcterms:hasPart rdf:resource="http://arxiv.org/abs/1511.08099"/>
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<dcterms:hasPart rdf:resource="#item_476"/>
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<dcterms:hasPart rdf:resource="https://repository.tcu.edu/handle/116099117/49062"/>
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<dcterms:hasPart rdf:resource="https://settlers-rl.github.io/"/>
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</z:Collection>
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<z:Collection rdf:about="#collection_28">
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<dc:title>Shobu</dc:title>
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Loading…
Reference in New Issue