New Hanabi thesis

This commit is contained in:
Nemo 2022-09-07 15:43:28 +05:30
parent f9754225fa
commit e644bd182a
2 changed files with 86 additions and 26 deletions

View File

@ -164,12 +164,13 @@ If you aren't able to access any paper on this list, please [try using Sci-Hub](
- [Hanabi Open Agent Dataset](https://github.com/aronsar/hoad) (computerProgram)
- [Hanabi Open Agent Dataset](https://dl.acm.org/doi/10.5555/3463952.3464188) (conferencePaper)
- [Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi](https://arxiv.org/abs/2107.07630) (journalArticle)
- [A Graphical User Interface For The Hanabi Challenge Benchmark](http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1597503) (thesis)
- [Emergence of Cooperative Impression With Self-Estimation, Thinking Time, and Concordance of Risk Sensitivity in Playing Hanabi](https://www.frontiersin.org/articles/10.3389/frobt.2021.658348/full) (journalArticle)
- [K-level Reasoning for Zero-Shot Coordination in Hanabi](https://papers.neurips.cc/paper/2021/hash/4547dff5fd7604f18c8ee32cf3da41d7-Abstract.html) (conferencePaper)
- [Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement Learning for Hanabi](http://arxiv.org/abs/2203.11656) (journalArticle)
- [Generating and Adapting to Diverse Ad-Hoc Partners in Hanabi](https://ieeexplore.ieee.org/document/9762901/) (journalArticle)
- [Theory of Mind for Multi-agent Coordination in Hanabi](http://fse.studenttheses.ub.rug.nl/id/eprint/28327) (thesis)
- [The Hanabi challenge: From Artificial Teams to Mixed Human-Machine Teams](http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1691114&dswid=-1981) (thesis)
- [A Graphical User Interface For The Hanabi Challenge Benchmark](http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94615) (thesis)
# Hearthstone
- [Mapping Hearthstone Deck Spaces through MAP-Elites with Sliding Boundaries](http://arxiv.org/abs/1904.10656) (journalArticle)

View File

@ -7751,30 +7751,6 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
<dc:rights>MIT License</dc:rights>
<z:programmingLanguage>Java</z:programmingLanguage>
</bib:Data>
<bib:Thesis rdf:about="http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1597503">
<z:itemType>thesis</z:itemType>
<dc:publisher>
<foaf:Organization>
<foaf:name>Örebro University, School of Science and Technology.</foaf:name>
</foaf:Organization>
</dc:publisher>
<bib:authors>
<rdf:Seq>
<rdf:li>
<foaf:Person>
<foaf:surname>Nguyen, Van Hoa</foaf:surname>
</foaf:Person>
</rdf:li>
</rdf:Seq>
</bib:authors>
<dc:title>A Graphical User Interface For The Hanabi Challenge Benchmark</dc:title>
<dcterms:abstract>This report will describe the development of the Graphical User Interface (GUI) forthe Hanabi Challenge Benchmark. The benchmark is based on the popular cardgame Hanabi and presents itself as a new research frontier in artificial intelligencefor cooperative multi-agent challenges. The projects intentions and goals are tointerpret and visualize the data output from the benchmark to give us a better understandingof it.A GUI was then developed by using knowledge within theory of mind in combinationwith theories within human-computer interaction. The results of this project wereevaluated through a small-scale usability test. Users of different ages, gender andlevels of computer knowledge tested the application and through a questionnaire,the quality of the GUI was assessed.</dcterms:abstract>
<dc:identifier>
<dcterms:URI>
<rdf:value>http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1597503</rdf:value>
</dcterms:URI>
</dc:identifier>
</bib:Thesis>
<bib:Article rdf:about="https://www.frontiersin.org/articles/10.3389/frobt.2021.658348/full">
<z:itemType>journalArticle</z:itemType>
<dcterms:isPartOf rdf:resource="urn:issn:2296-9144"/>
@ -9160,6 +9136,88 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
<dcterms:dateSubmitted>2022-08-23 11:54:35</dcterms:dateSubmitted>
<z:linkMode>3</z:linkMode>
</z:Attachment>
<bib:Thesis rdf:about="http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1691114&amp;dswid=-1981">
<z:itemType>thesis</z:itemType>
<dc:publisher>
<foaf:Organization>
<foaf:name>Örebro University, School of Science and Technology.</foaf:name>
</foaf:Organization>
</dc:publisher>
<bib:authors>
<rdf:Seq>
<rdf:li>
<foaf:Person>
<foaf:surname>Inferadi, Salam</foaf:surname>
</foaf:Person>
</rdf:li>
<rdf:li>
<foaf:Person>
<foaf:surname>Olof, Johnsson</foaf:surname>
</foaf:Person>
</rdf:li>
</rdf:Seq>
</bib:authors>
<link:link rdf:resource="#item_586"/>
<dc:title>The Hanabi challenge: From Artificial Teams to Mixed Human-Machine Teams</dc:title>
<dcterms:abstract>This report will describe the further development of the Graphical User Interface (GUI) for the Hanabi Benchmark. Hanabi is a card game that has been introduced as a new frontier for artificial intelligence (AI). The goal of the project was to implement a human-user, into the GUI, and give the possibility to play against Machine Learning (ML) based agents, viz, non-human players in the GUI.To achieve these goals, we implemented human controls into the GUI to give a human user the option to play the game in the GUI. Agent models were integrated into to the GUI for the human to play with. Finally, a small study was conducted to evaluate the agents performances.</dcterms:abstract>
<z:language>en</z:language>
<dc:identifier>
<dcterms:URI>
<rdf:value>http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1691114&amp;dswid=-1981</rdf:value>
</dcterms:URI>
</dc:identifier>
<z:numPages>40</z:numPages>
<z:type>Independent thesis Basic level (degree of Bachelor)</z:type>
</bib:Thesis>
<z:Attachment rdf:about="#item_586">
<z:itemType>attachment</z:itemType>
<dc:title>Fulltext PDF</dc:title>
<dc:identifier>
<dcterms:URI>
<rdf:value>https://www.diva-portal.org/smash/get/diva2:1691114/FULLTEXT01.pdf</rdf:value>
</dcterms:URI>
</dc:identifier>
<dcterms:dateSubmitted>2022-09-07 10:06:48</dcterms:dateSubmitted>
<z:linkMode>3</z:linkMode>
</z:Attachment>
<bib:Thesis rdf:about="http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94615">
<z:itemType>thesis</z:itemType>
<dc:publisher>
<foaf:Organization>
<foaf:name>Örebro University, School of Science and Technology</foaf:name>
</foaf:Organization>
</dc:publisher>
<bib:authors>
<rdf:Seq>
<rdf:li>
<foaf:Person>
<foaf:surname>Nguyen, Van Hoa</foaf:surname>
</foaf:Person>
</rdf:li>
</rdf:Seq>
</bib:authors>
<link:link rdf:resource="#item_588"/>
<dc:title>A Graphical User Interface For The Hanabi Challenge Benchmark</dc:title>
<dcterms:abstract>This report will describe the development of the Graphical User Interface (GUI) forthe Hanabi Challenge Benchmark. The benchmark is based on the popular cardgame Hanabi and presents itself as a new research frontier in artificial intelligencefor cooperative multi-agent challenges. The projects intentions and goals are tointerpret and visualize the data output from the benchmark to give us a better understandingof it.A GUI was then developed by using knowledge within theory of mind in combinationwith theories within human-computer interaction. The results of this project wereevaluated through a small-scale usability test. Users of different ages, gender andlevels of computer knowledge tested the application and through a questionnaire,the quality of the GUI was assessed.</dcterms:abstract>
<dc:identifier>
<dcterms:URI>
<rdf:value>http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94615</rdf:value>
</dcterms:URI>
</dc:identifier>
<z:numPages>33</z:numPages>
<z:type>Independent thesis Basic level (professional degree)</z:type>
</bib:Thesis>
<z:Attachment rdf:about="#item_588">
<z:itemType>attachment</z:itemType>
<dc:title>PDF</dc:title>
<dc:identifier>
<dcterms:URI>
<rdf:value>https://www.diva-portal.org/smash/get/diva2:1597503/FULLTEXT01.pdf</rdf:value>
</dcterms:URI>
</dc:identifier>
<dcterms:dateSubmitted>2022-09-07 10:09:15</dcterms:dateSubmitted>
<z:linkMode>3</z:linkMode>
</z:Attachment>
<z:Collection rdf:about="#collection_6">
<dc:title>2048</dc:title>
<dcterms:hasPart rdf:resource="https://doi.org/10.1007%2F978-3-319-50935-8_8"/>
@ -9265,12 +9323,13 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a
<dcterms:hasPart rdf:resource="https://github.com/aronsar/hoad"/>
<dcterms:hasPart rdf:resource="https://dl.acm.org/doi/10.5555/3463952.3464188"/>
<dcterms:hasPart rdf:resource="https://arxiv.org/abs/2107.07630"/>
<dcterms:hasPart rdf:resource="http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1597503"/>
<dcterms:hasPart rdf:resource="https://www.frontiersin.org/articles/10.3389/frobt.2021.658348/full"/>
<dcterms:hasPart rdf:resource="https://papers.neurips.cc/paper/2021/hash/4547dff5fd7604f18c8ee32cf3da41d7-Abstract.html"/>
<dcterms:hasPart rdf:resource="http://arxiv.org/abs/2203.11656"/>
<dcterms:hasPart rdf:resource="https://ieeexplore.ieee.org/document/9762901/"/>
<dcterms:hasPart rdf:resource="http://fse.studenttheses.ub.rug.nl/id/eprint/28327"/>
<dcterms:hasPart rdf:resource="http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1691114&amp;dswid=-1981"/>
<dcterms:hasPart rdf:resource="http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94615"/>
</z:Collection>
<z:Collection rdf:about="#collection_55">
<dc:title>Hearthstone</dc:title>