{"id":"https://openalex.org/W4285602456","doi":"https://doi.org/10.24963/ijcai.2022/489","title":"IMO^3: Interactive Multi-Objective Off-Policy Optimization","display_name":"IMO^3: Interactive Multi-Objective Off-Policy Optimization","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285602456","doi":"https://doi.org/10.24963/ijcai.2022/489"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/489","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/489","pdf_url":"https://www.ijcai.org/proceedings/2022/0489.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0489.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003449839","display_name":"Nan Wang","orcid":"https://orcid.org/0000-0002-4562-3506"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nan Wang","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia"],"affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041700556","display_name":"Maryam Karimzadehgan","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maryam Karimzadehgan","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049020775","display_name":"Branislav Kveton","orcid":"https://orcid.org/0000-0002-3965-1367"},"institutions":[{"id":"https://openalex.org/I4210089985","display_name":"Amazon (Germany)","ror":"https://ror.org/00b9ktm87","country_code":"DE","type":"company","lineage":["https://openalex.org/I1311688040","https://openalex.org/I4210089985"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Branislav Kveton","raw_affiliation_strings":["Amazon"],"affiliations":[{"raw_affiliation_string":"Amazon","institution_ids":["https://openalex.org/I4210089985"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036934218","display_name":"Craig Boutilier","orcid":"https://orcid.org/0000-0001-9330-4545"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Craig Boutilier","raw_affiliation_strings":["Google Research"],"affiliations":[{"raw_affiliation_string":"Google Research","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5003449839"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.261,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.35807504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"3523","last_page":"3529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.991599977016449,"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":0.7101770639419556},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6359498500823975},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.6357102394104004},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5445324778556824},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5369126200675964},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5224917531013489},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4400854706764221},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.36787259578704834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1762712001800537},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15352562069892883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08985504508018494},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06835141777992249}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7101770639419556},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6359498500823975},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.6357102394104004},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5445324778556824},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5369126200675964},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5224917531013489},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4400854706764221},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36787259578704834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1762712001800537},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15352562069892883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08985504508018494},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06835141777992249},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/489","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/489","pdf_url":"https://www.ijcai.org/proceedings/2022/0489.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/489","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/489","pdf_url":"https://www.ijcai.org/proceedings/2022/0489.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5245339017","display_name":null,"funder_award_id":"1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6132833097","display_name":"III: Small: Towards Explainable Personalization","funder_award_id":"2007492","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7441103298","display_name":null,"funder_award_id":"IIS-1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285602456.pdf","grobid_xml":"https://content.openalex.org/works/W4285602456.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1550812296","https://openalex.org/W1575029535","https://openalex.org/W1951936954","https://openalex.org/W2010225880","https://openalex.org/W2022217440","https://openalex.org/W2095602422","https://openalex.org/W2099471337","https://openalex.org/W2110228583","https://openalex.org/W2112709014","https://openalex.org/W2113065326","https://openalex.org/W2125899728","https://openalex.org/W2126559945","https://openalex.org/W2146412174","https://openalex.org/W2148827135","https://openalex.org/W2160092878","https://openalex.org/W2411922414","https://openalex.org/W2501772582","https://openalex.org/W2546799130","https://openalex.org/W2759684794","https://openalex.org/W2773557179","https://openalex.org/W2799700442","https://openalex.org/W2964297722","https://openalex.org/W2980495074","https://openalex.org/W3033693317","https://openalex.org/W3183335976","https://openalex.org/W4214649783","https://openalex.org/W4233216783","https://openalex.org/W4288317036","https://openalex.org/W4295118950"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2142844925","https://openalex.org/W2513211214","https://openalex.org/W4240964608","https://openalex.org/W2085577866","https://openalex.org/W1994436307","https://openalex.org/W2198098822","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Most":[0],"real-world":[1],"optimization":[2,54,142],"problems":[3],"have":[4],"multiple":[5],"objectives.":[6],"A":[7],"system":[8,91],"designer":[9,92],"needs":[10],"to":[11,20,87,100],"find":[12],"a":[13,22,42,90,115],"policy":[14,103,117],"that":[15,112],"trades":[16],"off":[17],"these":[18],"objectives":[19],"reach":[21],"desired":[23],"operating":[24],"point.":[25],"This":[26],"problem":[27],"has":[28],"been":[29],"studied":[30],"extensively":[31],"in":[32,96],"the":[33,123],"setting":[34,47,57],"of":[35,48,84,125],"known":[36],"objective":[37,50],"functions.":[38,51],"However,":[39],"we":[40,74],"consider":[41],"more":[43],"practical":[44],"but":[45],"challenging":[46],"unknown":[49,106],"In":[52],"industry,":[53],"under":[55],"this":[56],"is":[58,66,86],"mostly":[59],"approached":[60],"with":[61,89,118],"online":[62],"A/B":[63],"testing,":[64],"which":[65,102],"often":[67],"costly":[68],"and":[69,128],"inefficient.":[70],"As":[71],"an":[72,97],"alternative,":[73],"propose":[75],"Interactive":[76],"Multi-Objective":[77],"Off-policy":[78],"Optimization":[79],"(IMO^3).":[80],"The":[81],"key":[82],"idea":[83],"IMO^3":[85,113],"interact":[88],"using":[93],"policies":[94],"evaluated":[95],"off-policy":[98,132],"fashion":[99],"uncover":[101],"maximizes":[104],"her":[105],"utility":[107],"function.":[108],"We":[109,134],"theoretically":[110],"show":[111],"identifies":[114],"near-optimal":[116],"high":[119],"probability,":[120],"depending":[121],"on":[122,139],"amount":[124],"designer's":[126],"feedback":[127],"training":[129],"data":[130],"for":[131],"estimation.":[133],"demonstrate":[135],"its":[136],"effectiveness":[137],"empirically":[138],"several":[140],"multi-objective":[141],"problems.":[143]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}