From e644bd182a1bac4aa2b35ac69652b906ef0a8f3f Mon Sep 17 00:00:00 2001 From: Nemo Date: Wed, 7 Sep 2022 15:43:28 +0530 Subject: [PATCH] New Hanabi thesis --- README.md | 3 +- boardgame-research.rdf | 109 +++++++++++++++++++++++++++++++---------- 2 files changed, 86 insertions(+), 26 deletions(-) diff --git a/README.md b/README.md index bc12131..5e76cb8 100644 --- a/README.md +++ b/README.md @@ -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) diff --git a/boardgame-research.rdf b/boardgame-research.rdf index 22c89c2..584f699 100644 --- a/boardgame-research.rdf +++ b/boardgame-research.rdf @@ -7751,30 +7751,6 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a MIT License Java - - thesis - - - Örebro University, School of Science and Technology. - - - - - - - Nguyen, Van Hoa - - - - - A Graphical User Interface For The Hanabi Challenge Benchmark - 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 project’s 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. - - - http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1597503 - - - journalArticle @@ -9160,6 +9136,88 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a 2022-08-23 11:54:35 3 + + thesis + + + Örebro University, School of Science and Technology. + + + + + + + Inferadi, Salam + + + + + Olof, Johnsson + + + + + + The Hanabi challenge: From Artificial Teams to Mixed Human-Machine Teams + 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 agent’s performances. + en + + + http://oru.diva-portal.org/smash/record.jsf?pid=diva2%3A1691114&dswid=-1981 + + + 40 + Independent thesis Basic level (degree of Bachelor) + + + attachment + Fulltext PDF + + + https://www.diva-portal.org/smash/get/diva2:1691114/FULLTEXT01.pdf + + + 2022-09-07 10:06:48 + 3 + + + thesis + + + Örebro University, School of Science and Technology + + + + + + + Nguyen, Van Hoa + + + + + + A Graphical User Interface For The Hanabi Challenge Benchmark + 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 project’s 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. + + + http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94615 + + + 33 + Independent thesis Basic level (professional degree) + + + attachment + PDF + + + https://www.diva-portal.org/smash/get/diva2:1597503/FULLTEXT01.pdf + + + 2022-09-07 10:09:15 + 3 + 2048 @@ -9265,12 +9323,13 @@ guaranteed decent high score. The algorithm got a lowest score of 79 and a - + + Hearthstone