{"id":"https://openalex.org/W2570302042","doi":"https://doi.org/10.1109/cdc.2016.7799243","title":"Inverse modeling of non-cooperative agents via mixture of utilities","display_name":"Inverse modeling of non-cooperative agents via mixture of utilities","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2570302042","doi":"https://doi.org/10.1109/cdc.2016.7799243","mag":"2570302042"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7799243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","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/A5033005585","display_name":"Ioannis C. Konstantakopoulos","orcid":"https://orcid.org/0000-0001-8625-9723"},"institutions":[{"id":"https://openalex.org/I4210101888","display_name":"Alexander S Onassis Public Benefit Foundation","ror":"https://ror.org/017nq0d63","country_code":"GR","type":"other","lineage":["https://openalex.org/I4210101888"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["GR","US"],"is_corresponding":true,"raw_author_name":"Ioannis C. Konstantakopoulos","raw_affiliation_strings":["Alexander S. Onassis Public Benefit Foundation","Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Alexander S. Onassis Public Benefit Foundation","institution_ids":["https://openalex.org/I4210101888"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008161296","display_name":"Lillian J. Ratliff","orcid":"https://orcid.org/0000-0001-8936-0229"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lillian J. Ratliff","raw_affiliation_strings":["Department of Electrical Engineering, University of Washington, Seattle, WA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101484129","display_name":"Ming Jin","orcid":"https://orcid.org/0000-0001-7909-4545"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Jin","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013076652","display_name":"Costas J. Spanos","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Costas J. Spanos","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103101043","display_name":"S. Shankar Sastry","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Shankar Sastry","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033005585"],"corresponding_institution_ids":["https://openalex.org/I4210101888","https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":4.0494,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93301852,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"3","issue":null,"first_page":"6327","last_page":"6334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9891999959945679,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6549699306488037},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5606496930122375},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5330750942230225},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5242664813995361},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.46040284633636475},{"id":"https://openalex.org/keywords/heteroscedasticity","display_name":"Heteroscedasticity","score":0.45787355303764343},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.41677209734916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3852962851524353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38412603735923767},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20290783047676086},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.109895259141922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6549699306488037},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5606496930122375},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5330750942230225},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5242664813995361},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.46040284633636475},{"id":"https://openalex.org/C101104100","wikidata":"https://www.wikidata.org/wiki/Q1063540","display_name":"Heteroscedasticity","level":2,"score":0.45787355303764343},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.41677209734916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3852962851524353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38412603735923767},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20290783047676086},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.109895259141922},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2016.7799243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799243","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8899999856948853,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W97653666","https://openalex.org/W201347032","https://openalex.org/W1489537150","https://openalex.org/W1554944419","https://openalex.org/W1972221945","https://openalex.org/W1978463632","https://openalex.org/W1983471712","https://openalex.org/W1996010442","https://openalex.org/W1997898472","https://openalex.org/W2016210396","https://openalex.org/W2029264889","https://openalex.org/W2046561947","https://openalex.org/W2050949442","https://openalex.org/W2056187344","https://openalex.org/W2060143287","https://openalex.org/W2062925181","https://openalex.org/W2071886171","https://openalex.org/W2096452841","https://openalex.org/W2106949712","https://openalex.org/W2107308405","https://openalex.org/W2126466893","https://openalex.org/W2152485438","https://openalex.org/W2168257715","https://openalex.org/W2171033594","https://openalex.org/W2171526582","https://openalex.org/W2184468295","https://openalex.org/W2200737818","https://openalex.org/W2505780710","https://openalex.org/W2963385186","https://openalex.org/W2963994557","https://openalex.org/W4242841269","https://openalex.org/W6679050022","https://openalex.org/W6682629184"],"related_works":["https://openalex.org/W1676609285","https://openalex.org/W3148934225","https://openalex.org/W2091728194","https://openalex.org/W2312930409","https://openalex.org/W1543687704","https://openalex.org/W2595410671","https://openalex.org/W2074537980","https://openalex.org/W2920846473","https://openalex.org/W2181630796","https://openalex.org/W3042859362"],"abstract_inverted_index":{"We":[0,34,49],"describe":[1],"a":[2,14,25,67],"new":[3,87],"method":[4,56],"of":[5,27,38,40,53,62,94],"parametric":[6],"utility":[7,20,60,107],"learning":[8,108],"for":[9,17],"non-cooperative,":[10],"continuous":[11],"games":[12],"using":[13,64],"probabilistic":[15],"interpretation":[16],"combining":[18],"multiple":[19],"functions":[21,61],"-":[22,29],"thereby":[23],"creating":[24],"mixture":[26,39,93],"utilities":[28,95],"under":[30],"non-spherical":[31],"noise":[32],"terms.":[33],"present":[35],"an":[36],"adaptation":[37],"regression":[41],"models":[42],"that":[43,98],"takes":[44],"in":[45],"to":[46,72],"account":[47],"heteroskedasticity.":[48],"show":[50,97],"the":[51,54,59,86,91,99],"performance":[52],"proposed":[55],"by":[57,90],"estimating":[58],"players":[63],"data":[65,83],"from":[66],"social":[68],"game":[69,88],"experiment":[70],"designed":[71],"encourage":[73],"energy":[74],"efficient":[75],"behavior":[76],"amongst":[77],"building":[78],"occupants.":[79],"Using":[80],"occupant":[81],"voting":[82],"we":[84],"simulate":[85],"defined":[89],"estimated":[92],"and":[96,123],"resulting":[100],"forecast":[101],"is":[102],"more":[103],"accurate":[104],"than":[105],"robust":[106],"methods":[109,119,125],"such":[110,120,126],"as":[111,121,127],"constrained":[112],"Feasible":[113],"Generalized":[114],"Least":[115,129],"Squares":[116,130],"(cFGLS),":[117],"ensemble":[118],"bagging,":[122],"classical":[124],"Ordinary":[128],"(OLS).":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}