{"id":"https://openalex.org/W4362641872","doi":"https://doi.org/10.1109/tg.2023.3264457","title":"Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms","display_name":"Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362641872","doi":"https://doi.org/10.1109/tg.2023.3264457"},"language":"en","primary_location":{"id":"doi:10.1109/tg.2023.3264457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3264457","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Games","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080999254","display_name":"Roberto Gallotta","orcid":"https://orcid.org/0000-0001-7578-6173"},"institutions":[{"id":"https://openalex.org/I68926175","display_name":"Hoya (Japan)","ror":"https://ror.org/049vpfq31","country_code":"JP","type":"company","lineage":["https://openalex.org/I68926175"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Roberto Gallotta","raw_affiliation_strings":["Araya Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Araya Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I68926175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065210301","display_name":"Kai Arulkumaran","orcid":"https://orcid.org/0000-0003-0459-892X"},"institutions":[{"id":"https://openalex.org/I68926175","display_name":"Hoya (Japan)","ror":"https://ror.org/049vpfq31","country_code":"JP","type":"company","lineage":["https://openalex.org/I68926175"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kai Arulkumaran","raw_affiliation_strings":["Araya Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Araya Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I68926175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039317103","display_name":"L. B. Soros","orcid":"https://orcid.org/0000-0002-3259-3205"},"institutions":[{"id":"https://openalex.org/I4210094952","display_name":"Cross Compass (Japan)","ror":"https://ror.org/00naatv40","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210094952"]},{"id":"https://openalex.org/I98540497","display_name":"Barnard College","ror":"https://ror.org/04rt94r53","country_code":"US","type":"education","lineage":["https://openalex.org/I98540497"]}],"countries":["JP","US"],"is_corresponding":false,"raw_author_name":"L. B. Soros","raw_affiliation_strings":["Barnard College, New York, NY, USA","Cross Labs, Cross Compass, Ltd., Kyoto, Japan","Barnard College, New York City, USA"],"affiliations":[{"raw_affiliation_string":"Barnard College, New York, NY, USA","institution_ids":["https://openalex.org/I98540497"]},{"raw_affiliation_string":"Cross Labs, Cross Compass, Ltd., Kyoto, Japan","institution_ids":["https://openalex.org/I4210094952"]},{"raw_affiliation_string":"Barnard College, New York City, USA","institution_ids":["https://openalex.org/I98540497"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5080999254"],"corresponding_institution_ids":["https://openalex.org/I68926175"],"apc_list":null,"apc_paid":null,"fwci":1.3917,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.84402549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"16","issue":"2","first_page":"303","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11197","display_name":"Digital Games and Media","score":0.9710000157356262,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7346857786178589},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6908084154129028},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6714766621589661},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6556799411773682},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6179018020629883},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.6027354001998901},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5878062844276428},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5607504844665527},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5606130361557007},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5085164308547974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3885396420955658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3453044891357422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11787539720535278},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.07702386379241943}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7346857786178589},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6908084154129028},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6714766621589661},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6556799411773682},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6179018020629883},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.6027354001998901},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5878062844276428},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5607504844665527},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5606130361557007},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5085164308547974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3885396420955658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3453044891357422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11787539720535278},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.07702386379241943},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tg.2023.3264457","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tg.2023.3264457","pdf_url":null,"source":{"id":"https://openalex.org/S4210224842","display_name":"IEEE Transactions on Games","issn_l":"2475-1502","issn":["2475-1502","2475-1510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Games","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W89312385","https://openalex.org/W758372786","https://openalex.org/W1552276231","https://openalex.org/W1817672811","https://openalex.org/W2001466640","https://openalex.org/W2010769244","https://openalex.org/W2025605741","https://openalex.org/W2035033474","https://openalex.org/W2089973466","https://openalex.org/W2108114251","https://openalex.org/W2121538037","https://openalex.org/W2153504150","https://openalex.org/W2185901315","https://openalex.org/W2296428656","https://openalex.org/W2329949763","https://openalex.org/W2462548332","https://openalex.org/W2468706125","https://openalex.org/W2534314849","https://openalex.org/W2618956163","https://openalex.org/W2623265929","https://openalex.org/W2700693968","https://openalex.org/W2891016259","https://openalex.org/W2953980257","https://openalex.org/W2960352216","https://openalex.org/W2962781071","https://openalex.org/W2962878123","https://openalex.org/W2964312468","https://openalex.org/W2976102139","https://openalex.org/W2976883600","https://openalex.org/W2994369270","https://openalex.org/W2997591727","https://openalex.org/W3009830825","https://openalex.org/W3010195789","https://openalex.org/W3011912079","https://openalex.org/W3021381974","https://openalex.org/W3041043431","https://openalex.org/W3096604177","https://openalex.org/W3102434332","https://openalex.org/W3103183699","https://openalex.org/W3104610583","https://openalex.org/W3104767570","https://openalex.org/W3138288323","https://openalex.org/W3156953269","https://openalex.org/W3167260688","https://openalex.org/W3171635987","https://openalex.org/W4200060379","https://openalex.org/W4210296703","https://openalex.org/W4210798262","https://openalex.org/W4229977739","https://openalex.org/W4230982142","https://openalex.org/W4234228486","https://openalex.org/W4248672808","https://openalex.org/W4249596005","https://openalex.org/W4280515527","https://openalex.org/W4285805428","https://openalex.org/W4287824649","https://openalex.org/W4288083766","https://openalex.org/W4294730403","https://openalex.org/W4296512950","https://openalex.org/W4302367531","https://openalex.org/W4312433276","https://openalex.org/W4313055918","https://openalex.org/W4392449339","https://openalex.org/W6622219343","https://openalex.org/W6676576766","https://openalex.org/W6732528621","https://openalex.org/W6775382144"],"related_works":["https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W2369710579","https://openalex.org/W217960748","https://openalex.org/W2035018219"],"abstract_inverted_index":{"In":[0,93],"mixed-initiative":[1],"co-creation":[2],"tasks,":[3],"wherein":[4],"a":[5,8,91,148,164,175,196],"human":[6],"and":[7,51,116,135,156,171,194],"machine":[9],"jointly":[10],"create":[11],"items,":[12],"it":[13,61,173],"is":[14,62,88],"important":[15,63],"to":[16,21,109,153,174],"provide":[17,35,66],"multiple":[18],"relevant":[19],"suggestions":[20,37,56],"the":[22,43,58,73,81,86,111,114,126,132,154,160,181],"designer.":[23],"Quality-diversity":[24],"algorithms":[25],"are":[26,83],"commonly":[27],"used":[28],"for":[29,167,191],"this":[30,94],"purpose,":[31],"as":[32],"they":[33,65],"can":[34],"diverse":[36],"that":[38,64,106],"represent":[39],"salient":[40],"areas":[41],"of":[42,113,151],"solution":[44],"space,":[45],"showcasing":[46],"designs":[47,128],"with":[48,72,80,90,100,131,199],"high":[49],"fitness":[50],"wide":[52],"variety.":[53],"Because":[54],"generated":[55,127],"drive":[57],"search":[59],"process,":[60],"inspiration,":[67],"but":[68],"also":[69],"stay":[70],"aligned":[71,130],"designer's":[74,133],"intentions.":[75],"Additionally,":[76],"often":[77],"many":[78],"interactions":[79],"system":[82,105],"required":[84],"before":[85],"designer":[87,115,155],"content":[89,177],"solution.":[92],"work,":[95],"we":[96,140],"tackle":[97],"these":[98],"challenges":[99],"an":[101,188],"interactive":[102,189],"constrained":[103],"MAP-Elites":[104],"leverages":[107],"emitters":[108,169],"learn":[110],"preferences":[112],"then":[117],"use":[118],"them":[119],"in":[120,180],"automated":[121],"steps.":[122],"By":[123],"learning":[124],"preferences,":[125],"remain":[129],"intent,":[134],"by":[136],"applying":[137],"automatic":[138],"steps,":[139],"generate":[141],"more":[142],"solutions":[143],"per":[144],"user":[145,197],"interaction,":[146],"giving":[147],"larger":[149],"number":[150],"choices":[152],"thereby":[157],"speeding":[158],"up":[159],"search.":[161],"We":[162,186],"propose":[163],"general":[165],"framework":[166],"preference-learning":[168],"(PLEs)":[170],"apply":[172],"procedural":[176],"generation":[178],"task":[179],"video":[182],"game":[183],"Space":[184],"Engineers.":[185],"built":[187],"application":[190],"our":[192],"algorithm":[193],"performed":[195],"study":[198],"players.":[200]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}