{"id":"https://openalex.org/W3005810407","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991830","title":"Multi-agent crowdsourcing model based on Q-learning","display_name":"Multi-agent crowdsourcing model based on Q-learning","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W3005810407","doi":"https://doi.org/10.1109/icce-tw46550.2019.8991830","mag":"3005810407"},"language":"en","primary_location":{"id":"doi:10.1109/icce-tw46550.2019.8991830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","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/A5046642410","display_name":"Xin Fang","orcid":"https://orcid.org/0000-0002-7274-8195"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Fang","raw_affiliation_strings":["Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101476445","display_name":"Yongan Guo","orcid":"https://orcid.org/0000-0003-1388-6771"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongan Guo","raw_affiliation_strings":["Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications,Nanjing,China,210003","institution_ids":["https://openalex.org/I41198531"]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046642410"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1460802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13909","display_name":"Environmental Quality and Pollution","score":0.8738999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13909","display_name":"Environmental Quality and Pollution","score":0.8738999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.7720000147819519,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.7465999722480774,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9492729902267456},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8384265899658203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7760213017463684},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.637281060218811},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5932731032371521},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5602617859840393},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5318764448165894},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4996528625488281},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09303319454193115},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09182751178741455}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9492729902267456},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8384265899658203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7760213017463684},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.637281060218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932731032371521},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5602617859840393},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5318764448165894},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4996528625488281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09303319454193115},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09182751178741455},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-tw46550.2019.8991830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-tw46550.2019.8991830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.47999998927116394,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2167569421","https://openalex.org/W2544222471"],"related_works":["https://openalex.org/W2742483371","https://openalex.org/W3096874164","https://openalex.org/W2166117066","https://openalex.org/W2357975469","https://openalex.org/W2136202932","https://openalex.org/W3087814763","https://openalex.org/W4376605461","https://openalex.org/W4400868993","https://openalex.org/W2361647908","https://openalex.org/W2937181779"],"abstract_inverted_index":{"The":[0,54],"multi-agent":[1,47],"crowdsourcing":[2,48],"system":[3,49],"is":[4,14,18,39,52,61],"a":[5,34,45],"very":[6],"popular":[7],"field":[8],"in":[9,22],"recent":[10],"years,":[11],"and":[12],"Q-learning":[13,32],"an":[15],"algorithm":[16,38],"that":[17],"the":[19,27,62],"most":[20,55],"practical":[21],"reinforcement":[23,30],"learning.":[24],"Based":[25,41],"on":[26,42],"single":[28],"agent":[29],"learning":[31,36],"algorithm,":[33,44],"new":[35,46],"collaboration":[37],"proposed.":[40,53],"this":[43,59],"structure":[50,60],"model":[51],"important":[56],"feature":[57],"of":[58],"knowledge":[63],"sharing.":[64]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
