{"id":"https://openalex.org/W4319453708","doi":"https://doi.org/10.48550/arxiv.2302.02944","title":"Learning Complementary Policies for Human-AI Teams","display_name":"Learning Complementary Policies for Human-AI Teams","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319453708","doi":"https://doi.org/10.48550/arxiv.2302.02944"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2302.02944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.02944","pdf_url":"https://arxiv.org/pdf/2302.02944","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2302.02944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102426480","display_name":"Ruijiang Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Ruijiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066579957","display_name":"Maytal Saar\u2010Tsechansky","orcid":"https://orcid.org/0000-0002-2400-3762"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saar-Tsechansky, Maytal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5014101282","display_name":"Maria De\u2010Arteaga","orcid":"https://orcid.org/0000-0003-2297-3308"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"De-Arteaga, Maria","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.980400025844574,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.980400025844574,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9692999720573425,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7063815593719482},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.6860737204551697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6846928596496582},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6819630265235901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5843374133110046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5657875537872314},{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.43878427147865295},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3981218934059143},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3265799283981323},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.32595497369766235},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1407754123210907},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13191208243370056},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1309477686882019},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09640038013458252}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7063815593719482},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.6860737204551697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6846928596496582},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6819630265235901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5843374133110046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5657875537872314},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.43878427147865295},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3981218934059143},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3265799283981323},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.32595497369766235},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1407754123210907},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13191208243370056},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1309477686882019},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09640038013458252},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2302.02944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.02944","pdf_url":"https://arxiv.org/pdf/2302.02944","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"doi:10.48550/arxiv.2302.02944","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2302.02944","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2302.02944","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2302.02944","pdf_url":"https://arxiv.org/pdf/2302.02944","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W4384133558","https://openalex.org/W3025615835","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3028847759","https://openalex.org/W2393688264","https://openalex.org/W2392715194"],"abstract_inverted_index":{"This":[0],"paper":[1],"tackles":[2],"the":[3,13,24,30,78,99,106,159],"critical":[4],"challenge":[5],"of":[6,21,23,32,81,153],"human-AI":[7,25,56,165],"complementarity":[8],"in":[9,19,97,167],"decision-making.":[10,137],"Departing":[11],"from":[12,112],"traditional":[14],"focus":[15,37],"on":[16,38],"algorithmic":[17,136],"performance":[18,22,109,143],"favor":[20],"team,":[26],"and":[27,83,102,115,123,135,163],"moving":[28],"past":[29],"framing":[31],"collaboration":[33,57,70,166],"as":[34],"classification":[35],"to":[36,46,95,155],"decision-making":[39],"tasks,":[40],"we":[41,50,119,139],"introduce":[42],"a":[43,52,68,150],"novel":[44],"approach":[45,71],"policy":[47],"learning.":[48],"Specifically,":[49],"develop":[51],"robust":[53,94],"solution":[54],"for":[55,161],"when":[58],"outcomes":[59],"are":[60,145],"only":[61,149],"observed":[62],"under":[63],"assigned":[64],"actions.":[65],"We":[66],"propose":[67],"deferral":[69],"that":[72,108,127,141],"maximizes":[73],"decision":[74],"rewards":[75],"by":[76,147],"exploiting":[77],"distinct":[79],"strengths":[80],"humans":[82],"AI,":[84],"strategically":[85],"allocating":[86],"instances":[87,154],"among":[88],"them.":[89],"Critically,":[90],"our":[91,128],"method":[92,130],"is":[93],"misspecifications":[96],"both":[98],"human":[100,114,125,134,156],"behavior":[101],"reward":[103],"models.":[104],"Leveraging":[105],"insight":[107],"gains":[110],"stem":[111],"divergent":[113],"AI":[116],"behavioral":[117],"patterns,":[118],"demonstrate,":[120],"using":[121],"synthetic":[122],"real":[124],"responses,":[126],"proposed":[129],"significantly":[131],"outperforms":[132],"independent":[133],"Moreover,":[138],"show":[140],"substantial":[142],"improvements":[144],"achievable":[146],"routing":[148],"small":[151],"fraction":[152],"decision-makers,":[157],"highlighting":[158],"potential":[160],"efficient":[162],"effective":[164],"complex":[168],"management":[169],"settings.":[170]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}