{"data":{"id":"10.4121/6b996f9c-27a9-4332-a0b6-d186ac6c4467","type":"dois","attributes":{"doi":"10.4121/6b996f9c-27a9-4332-a0b6-d186ac6c4467","prefix":"10.4121","suffix":"6b996f9c-27a9-4332-a0b6-d186ac6c4467","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Zanger, Moritz A.","nameType":"Personal","givenName":"Moritz A.","familyName":"Zanger","nameIdentifiers":[{"nameIdentifier":"0000-0002-3827-1143","nameIdentifierScheme":"https://orcid.org/"}],"affiliation":[]},{"name":"Boehmer, Wendelin","givenName":"Wendelin","familyName":"Boehmer","affiliation":[],"nameIdentifiers":[]},{"name":"Spaan, M.T.J. (Matthijs)","givenName":"M.T.J. (Matthijs)","familyName":"Spaan","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Code accompanying the paper \"Diverse projection ensembles for distributional reinforcement learning\""}],"publisher":"4TU.ResearchData","container":{},"publicationYear":2025,"subjects":[{"subject":"Artificial Intelligence and Image Processing","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0801"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Computation Theory and Mathematics","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"0802"},{"subject":"Information and Computing Sciences","subjectScheme":"Australian and New Zealand Standard Research Classification (ANZSRC), 2008","classificationCode":"08"},{"subject":"Projections"},{"subject":"Distributional Reinforcement Learning"},{"subject":"Reinforcement Learning"},{"subject":"Deep Learning"},{"subject":"Machine Learning"},{"subject":"Exploration"},{"subject":"Uncertainty Quantification"}],"contributors":[{"name":"Delft University of Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems, Sequential Decision Making Group","nameType":"Organizational","affiliation":[],"contributorType":"Other","nameIdentifiers":[]}],"dates":[{"date":"2025-08-15","dateType":"Issued"}],"language":"en","types":{"ris":"COMP","bibtex":"misc","citeproc":"article","schemaOrg":"SoftwareSourceCode","resourceType":"Software","resourceTypeGeneral":"Software"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.5281/zenodo.14236990","relatedIdentifierType":"DOI"},{"relationType":"References","relatedIdentifier":"https://openreview.net/forum?id=qe49ybvvPs","relatedIdentifierType":"URL"},{"relationType":"IsVersionOf","relatedIdentifier":"10.4121/6b996f9c-27a9-4332-a0b6-d186ac6c4467.v1","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[".py"],"version":"1","rightsList":[{"rights":"MIT License","rightsUri":"https://opensource.org/licenses/MIT","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"mit","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"This is the official code repository of projection-ensemble DQN, accompanying the paper \"Diverse projection ensembles for distributional reinforcement learning\" (ICLR 2024).","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Epistemic AI","funderName":"EXCELLENT SCIENCE - Future and Emerging Technologies (FET) (EU Horizons 2020)","awardNumber":"964505"}],"xml":"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","url":"https://data.4tu.nl/datasets/6b996f9c-27a9-4332-a0b6-d186ac6c4467","contentUrl":null,"metadataVersion":0,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"api","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":1,"citationsOverTime":[{"year":"2025","total":1}],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":1,"created":"2025-08-15T06:44:40.000Z","registered":"2025-08-15T06:44:41.000Z","published":"2025","updated":"2025-08-15T06:44:41.000Z"},"relationships":{"client":{"data":{"id":"delft.data4tu","type":"clients"}},"provider":{"data":{"id":"scpr","type":"providers"}},"media":{"data":{"id":"10.4121/6b996f9c-27a9-4332-a0b6-d186ac6c4467","type":"media"}},"references":{"data":[]},"citations":{"data":[{"id":"10.5281/zenodo.14236990","type":"dois"}]},"parts":{"data":[]},"partOf":{"data":[]},"versions":{"data":[]},"versionOf":{"data":[{"id":"10.4121/6b996f9c-27a9-4332-a0b6-d186ac6c4467.v1","type":"dois"}]}}}}