New blog post on Catan

- Closes #11

CONTRIBUTING.md

@@ -1,13 +1,20 @@
 # Contributing
 
-Pull requests are welcome, as long as they follow these simple guidelines:
+Suggestions for new resources are welcome, as long as they follow these simple
+guidelines:
 
-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.
-1. Try to avoid low-information research (posters/presentations) unless the topic is not covered elsewhere in a better medium.
+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.
+1. Try to avoid low-information research (posters/presentations) unless the
+   topic is not covered elsewhere in a better medium.
 
-Please note we have a code of conduct, please follow it in all your interactions with the project.
+Please note we have a code of conduct, please follow it in all your interactions
+with the project.
 
 ### How to make a submission
 
-You can send us a link by [creating a new issue](https://github.com/captn3m0/boardgame-research/issues/new/choose) on GitHub
-or [sending me an email](https://captnemo.in/contact/) with the details.
+You can send us a link by
+[creating a new issue](https://github.com/captn3m0/boardgame-research/issues/new/choose)
+on GitHub or [sending me an email](https://captnemo.in/contact/) with the
+details.
+

README.md

@@ -306,6 +306,7 @@ If you aren't able to access any paper on this list, please [try using Sci-Hub](
 - [Strategic Dialogue Management via Deep Reinforcement Learning](http://arxiv.org/abs/1511.08099) (journalArticle)
 - [Strategic Dialogue Management via Deep Reinforcement Learning](http://arxiv.org/abs/1511.08099) (journalArticle)
 - [Analysis of 'The Settlers of Catan' Using Markov Chains](https://repository.tcu.edu/handle/116099117/49062) (thesis)
+- [Learning to Play Settlers of Catan with Deep Reinforcement Learning](https://settlers-rl.github.io/) (blogPost)
 
 # Shobu
 - [Shobu AI Playground](https://github.com/JayWalker512/Shobu) (computerProgram)

boardgame-research.rdf

@@ -8940,6 +8940,9 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
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@@ -8968,6 +8971,63 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
         <dcterms:dateSubmitted>2022-03-26 04:22:52</dcterms:dateSubmitted>
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+        <z:itemType>attachment</z:itemType>
+        <dc:title>arXiv.org Snapshot</dc:title>
+        <dc:identifier>
+            <dcterms:URI>
+               <rdf:value>https://arxiv.org/abs/2203.11656</rdf:value>
+            </dcterms:URI>
+        </dc:identifier>
+        <dcterms:dateSubmitted>2022-03-26 04:24:17</dcterms:dateSubmitted>
+        <z:linkMode>1</z:linkMode>
+        <link:type>text/html</link:type>
+    </z:Attachment>
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+        <z:itemType>attachment</z:itemType>
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+               <rdf:value>https://arxiv.org/pdf/2203.11656.pdf</rdf:value>
+            </dcterms:URI>
+        </dc:identifier>
+        <dcterms:dateSubmitted>2022-03-26 04:24:21</dcterms:dateSubmitted>
+        <z:linkMode>1</z:linkMode>
+        <link:type>application/pdf</link:type>
+    </z:Attachment>
+    <bib:Document rdf:about="https://settlers-rl.github.io/">
+        <z:itemType>blogPost</z:itemType>
+        <dcterms:isPartOf>
+           <z:Blog></z:Blog>
+        </dcterms:isPartOf>
+        <bib:authors>
+            <rdf:Seq>
+                <rdf:li>
+                    <foaf:Person>
+                       <foaf:surname>Henry Charlesworth</foaf:surname>
+                    </foaf:Person>
+                </rdf:li>
+            </rdf:Seq>
+        </bib:authors>
+        <dc:title>Learning to Play Settlers of Catan with Deep Reinforcement Learning</dc:title>
+        <dc:identifier>
+            <dcterms:URI>
+               <rdf:value>https://settlers-rl.github.io/</rdf:value>
+            </dcterms:URI>
+        </dc:identifier>
+    </bib:Document>
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         <dc:title>2048</dc:title>
         <dcterms:hasPart rdf:resource="https://doi.org/10.1007%2F978-3-319-50935-8_8"/>
@@ -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="#item_476"/>
         <dcterms:hasPart rdf:resource="https://repository.tcu.edu/handle/116099117/49062"/>
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