{"id":"https://openalex.org/W4386907880","doi":"https://doi.org/10.48550/arxiv.2309.10498","title":"A Configurable Library for Generating and Manipulating Maze Datasets","display_name":"A Configurable Library for Generating and Manipulating Maze Datasets","publication_year":2023,"publication_date":"2023-09-19","ids":{"openalex":"https://openalex.org/W4386907880","doi":"https://doi.org/10.48550/arxiv.2309.10498"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2309.10498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.10498","pdf_url":"https://arxiv.org/pdf/2309.10498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2309.10498","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014641632","display_name":"Michael Ivanitskiy","orcid":"https://orcid.org/0000-0002-4213-4993"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ivanitskiy, Michael Igorevich","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114106467","display_name":"Rusheb Shah","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shah, Rusheb","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064985679","display_name":"Alex F. Spies","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Spies, Alex F.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035525673","display_name":"Tilman R\u00e4uker","orcid":"https://orcid.org/0009-0009-6321-4413"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R\u00e4uker, Tilman","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113005118","display_name":"Dan Valentine","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentine, Dan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063383301","display_name":"Can Rager","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rager, Can","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092912338","display_name":"Lucia Quirke","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quirke, Lucia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092912339","display_name":"Chris Mathwin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mathwin, Chris","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092912340","display_name":"Guillaume Corlouer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Corlouer, Guillaume","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025236648","display_name":"Cecilia Diniz Behn","orcid":"https://orcid.org/0000-0002-8078-5105"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Behn, Cecilia Diniz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5078351138","display_name":"Samy Wu Fung","orcid":"https://orcid.org/0000-0002-2926-4582"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fung, Samy Wu","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5014641632"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9239000082015991,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8242887854576111},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7721924781799316},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7315634489059448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5318742990493774},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5181387662887573},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5015792846679688},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48633939027786255},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.45125189423561096},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4309963583946228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3899337351322174},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10241425037384033},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09268641471862793},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08114191889762878}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8242887854576111},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7721924781799316},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7315634489059448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5318742990493774},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5181387662887573},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5015792846679688},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48633939027786255},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.45125189423561096},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4309963583946228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3899337351322174},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10241425037384033},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09268641471862793},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08114191889762878},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2309.10498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.10498","pdf_url":"https://arxiv.org/pdf/2309.10498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2309.10498","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2309.10498","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2309.10498","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2309.10498","pdf_url":"https://arxiv.org/pdf/2309.10498","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4386907880.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2883256816","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2171408034","https://openalex.org/W2348924972","https://openalex.org/W3003320923","https://openalex.org/W2365736347","https://openalex.org/W2106140982","https://openalex.org/W2047454415"],"abstract_inverted_index":{"Understanding":[0],"how":[1],"machine":[2],"learning":[3],"models":[4],"respond":[5],"to":[6,21,29,82,106],"distributional":[7,35],"shifts":[8],"is":[9],"a":[10,26,50],"key":[11],"research":[12,130],"challenge.":[13],"Mazes":[14],"serve":[15],"as":[16],"an":[17],"excellent":[18],"testbed":[19],"due":[20],"varied":[22],"generation":[23,76],"algorithms":[24],"offering":[25],"nuanced":[27],"platform":[28],"simulate":[30],"both":[31],"subtle":[32],"and":[33,56,87,103,110,121,127],"pronounced":[34],"shifts.":[36],"To":[37],"enable":[38],"systematic":[39],"investigations":[40],"of":[41,60,85],"model":[42],"behavior":[43],"on":[44],"out-of-distribution":[45],"data,":[46],"we":[47],"present":[48],"$\\texttt{maze-dataset}$,":[49],"comprehensive":[51],"library":[52],"for":[53,119],"generating,":[54],"processing,":[55],"visualizing":[57,120],"datasets":[58],"consisting":[59],"maze-solving":[61],"tasks.":[62],"With":[63],"this":[64],"library,":[65],"researchers":[66],"can":[67],"easily":[68],"create":[69],"datasets,":[70],"having":[71],"extensive":[72],"control":[73],"over":[74],"the":[75,79,83,88],"algorithm":[77,84],"used,":[78],"parameters":[80],"fed":[81],"choice,":[86],"filters":[89],"that":[90],"generated":[91],"mazes":[92],"must":[93],"satisfy.":[94],"Furthermore,":[95],"it":[96],"supports":[97],"multiple":[98],"output":[99],"formats,":[100,115],"including":[101],"rasterized":[102],"text-based,":[104],"catering":[105],"convolutional":[107],"neural":[108],"networks":[109],"autoregressive":[111],"transformer":[112],"models.":[113],"These":[114],"along":[116],"with":[117],"tools":[118],"converting":[122],"between":[123],"them,":[124],"ensure":[125],"versatility":[126],"adaptability":[128],"in":[129],"applications.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}