{"id":"https://openalex.org/W4402436945","doi":"https://doi.org/10.1109/ccta60707.2024.10666622","title":"High-Level Human Intention Learning for Cooperative Decision-Making","display_name":"High-Level Human Intention Learning for Cooperative Decision-Making","publication_year":2024,"publication_date":"2024-08-21","ids":{"openalex":"https://openalex.org/W4402436945","doi":"https://doi.org/10.1109/ccta60707.2024.10666622"},"language":"en","primary_location":{"id":"doi:10.1109/ccta60707.2024.10666622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta60707.2024.10666622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-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/A5108527831","display_name":"Yuxin Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuxin Lin","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024329028","display_name":"Seyede Fatemeh Ghoreishi","orcid":"https://orcid.org/0000-0003-4851-8135"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seyede Fatemeh Ghoreishi","raw_affiliation_strings":["Northeastern University,Department of Civil and Environmental Engineering and Khoury College of Computer Sciences"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Civil and Environmental Engineering and Khoury College of Computer Sciences","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523732","display_name":"Tian Lan","orcid":"https://orcid.org/0000-0002-2811-2261"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Lan","raw_affiliation_strings":["George Washington University,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"George Washington University,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017741575","display_name":"Mahdi Imani","orcid":"https://orcid.org/0000-0001-9570-9909"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahdi Imani","raw_affiliation_strings":["Northeastern University,Department of Electrical and Computer Engineering"],"affiliations":[{"raw_affiliation_string":"Northeastern University,Department of Electrical and Computer Engineering","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108527831"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":3.4809,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93488692,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9968000054359436,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9968000054359436,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.6315390467643738},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3620988726615906},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3545362949371338}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315390467643738},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3620988726615906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3545362949371338}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta60707.2024.10666622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta60707.2024.10666622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6299999952316284}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1929981607","https://openalex.org/W2022638422","https://openalex.org/W2121863487","https://openalex.org/W2339027962","https://openalex.org/W2406929209","https://openalex.org/W2604382266","https://openalex.org/W2890335815","https://openalex.org/W2901465643","https://openalex.org/W2909027522","https://openalex.org/W2910395230","https://openalex.org/W2922127468","https://openalex.org/W2953981431","https://openalex.org/W2963277051","https://openalex.org/W2980704105","https://openalex.org/W3006115429","https://openalex.org/W3012211643","https://openalex.org/W3045954501","https://openalex.org/W3090270894","https://openalex.org/W3093840653","https://openalex.org/W3131283877","https://openalex.org/W3138984732","https://openalex.org/W3149264090","https://openalex.org/W3154650684","https://openalex.org/W3180975238","https://openalex.org/W3187971485","https://openalex.org/W4293489810","https://openalex.org/W4384158393","https://openalex.org/W4391164360","https://openalex.org/W4393178567","https://openalex.org/W4399100951","https://openalex.org/W4399641533","https://openalex.org/W4402263766","https://openalex.org/W6640443443","https://openalex.org/W6718092244","https://openalex.org/W6744896589","https://openalex.org/W6754841496","https://openalex.org/W6758763022","https://openalex.org/W6764976746","https://openalex.org/W6769269530","https://openalex.org/W6840199509","https://openalex.org/W6863279633","https://openalex.org/W7008193630"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Autonomous":[0],"agents":[1,18,42,142],"are":[2],"increasingly":[3],"popular":[4],"in":[5,11,147,167],"various":[6,108],"practical":[7],"domains,":[8],"assisting":[9],"humans":[10,20],"performing":[12],"complex":[13,77],"tasks.":[14],"However,":[15],"coordinating":[16],"between":[17],"and":[19,78,89,99,123,133,170],"can":[21],"be":[22],"challenging,":[23],"particularly":[24],"when":[25],"communication":[26],"is":[27,53,65,96,113],"limited":[28],"or":[29],"non-existent.":[30],"This":[31],"paper":[32],"proposes":[33],"a":[34,56,116],"method":[35,64,84,95,140,166],"for":[36,67,76,101],"cooperative":[37],"decision-making":[38,112],"by":[39,74],"enabling":[40],"autonomous":[41],"to":[43,107,143],"infer":[44],"high-level":[45],"human":[46,72,80,92,102,125,155],"intention":[47,168],"through":[48],"their":[49,145],"behavioral":[50],"data.":[51],"Human":[52],"modeled":[54],"as":[55],"sub-optimal":[57],"reinforcement":[58],"learning":[59,63,121],"agent.":[60],"A":[61],"statistical":[62],"developed":[66],"implicit":[68],"probabilistic":[69],"reasoning":[70],"of":[71,91,118,131,136,154,163],"intentions":[73],"accounting":[75],"unpredictable":[79],"behavior.":[81],"The":[82,94,110,138],"proposed":[83,139,165],"computes":[85],"the":[86,119,161],"exact":[87],"likelihood":[88],"posterior":[90],"intentions.":[93,156],"fully":[97],"recursive":[98],"accounts":[100],"priorities,":[103],"making":[104],"it":[105],"applicable":[106],"domains.":[109],"agents\u2019":[111],"achieved":[114],"using":[115],"combination":[117],"active":[120],"approach":[122],"quantified":[124],"intentions,":[126],"which":[127],"enables":[128],"effective":[129],"coordination":[130],"tasks":[132],"prevents":[134],"duplication":[135],"efforts.":[137],"allows":[141],"adapt":[144],"strategy":[146],"real":[148],"time":[149],"based":[150],"on":[151],"partial":[152],"knowledge":[153],"Our":[157],"numerical":[158],"experiments":[159],"demonstrate":[160],"efficacy":[162],"our":[164],"inference":[169],"task":[171],"coordination.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}