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[{"key": "dc.contributor.advisor", "value": "Nieminen, Paavo", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.advisor", "value": "Itkonen, Jonne", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Tapio, Tomi", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2021-11-10T06:22:08Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2021-11-10T06:22:08Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2021", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/78574", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Automatisoitu pelitestaus on viel\u00e4 v\u00e4h\u00e4ist\u00e4 peliteollisuudessa, ja koneoppimisalgoritmien nopea kehitys mahdollistaa koneopetetun agentin k\u00e4ytt\u00e4misen yh\u00e4 paremmin pelimoottoreiden sis\u00e4ll\u00e4. Tutkimuksessa pelitestauksen osa-alueista keskityt\u00e4\u00e4n vaikeustason balansointiin. Tavoitteena oli tutkia, voiko agenttia k\u00e4ytt\u00e4\u00e4 bullet hell -genren pelin kenttien vaikeustasojen havainnointiin, jolloin tarve ulkopuolisille testaajille v\u00e4henisi. Tutkimusta varten toteutettiin bullet hell -genren prototyyppi, jonka kentiss\u00e4 agenttia simuloitiin. Opetetun agentin suoriutumista verrattiin k\u00e4ytt\u00e4j\u00e4dataan, joka ker\u00e4ttiin k\u00e4ytt\u00e4j\u00e4testeill\u00e4. Tulokset osoittivat, ett\u00e4 agentin opettaminen t\u00e4llaisessa haasteellisessa genress\u00e4 vaatii hyvin paljon opetusaikaa. Lis\u00e4ksi kentt\u00e4kohtainen ylisovittaminen osoittautui suureksi haasteeksi. Tutkimuksen perusteella esitet\u00e4\u00e4n havaintoja agentin opettamisen tehostamiseksi, joiden katsotaan olevan hy\u00f6dyksi pelikehitt\u00e4jille, jotka ovat kehitt\u00e4m\u00e4ss\u00e4 vaikeustasoltaan haastavaa peli\u00e4 ja aikovat hy\u00f6dynt\u00e4\u00e4 koneoppimista kehitt\u00e4misess\u00e4.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Automated game testing is still limited in the gaming industry and the rapid development of the machine learning algorithms makes it increasingly possible to use a machine learning agent inside the game engines. In this study, the core aspect of the game testing is a difficulty balancing. This thesis examines whether the agent could be used to detect the difficulty of the levels in the bullet hell genre, thereby reducing the need for the external testers. In this study, a machine-learned agent was simulated in a prototype implemented for the study. The performance of the agent is compared to the user data collected through the user tests. The results showed that teaching the agent in a such a challenging genre requires a lot of teaching time. In addition, the level-specific overfitting proved to be a major challenge. The study presents the findings related to enhancing agent learning that are considered to be beneficial to a game developers who are developing a challenging game and intend to leverage a machine learning in the development.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2021-11-10T06:22:08Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2021-11-10T06:22:08Z (GMT). No. of bitstreams: 0\n Previous issue date: 2021", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "84", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "fin", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "pelitestaus", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "bullet hell", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "vahvistusoppiminen", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "imitaatio-oppiminen", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Koneopetetun agentin hy\u00f6dynt\u00e4minen vaikeustason balansointiin bullet hell -peligenress\u00e4", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202111105595", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "testaus", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "pelit", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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