{"id":"https://openalex.org/W4402258928","doi":"https://doi.org/10.1109/tetci.2024.3452119","title":"Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games","display_name":"Multi-Agent Evolutionary Reinforcement Learning Based on Cooperative Games","publication_year":2024,"publication_date":"2024-09-05","ids":{"openalex":"https://openalex.org/W4402258928","doi":"https://doi.org/10.1109/tetci.2024.3452119"},"language":"en","primary_location":{"id":"doi:10.1109/tetci.2024.3452119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3452119","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-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/A5088171563","display_name":"Jin Yu","orcid":"https://orcid.org/0000-0002-5897-9261"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Yu","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5897-9261","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086596302","display_name":"Ya Zhang","orcid":"https://orcid.org/0000-0002-3366-9304"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ya Zhang","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3366-9304","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019248683","display_name":"Changyin Sun","orcid":"https://orcid.org/0000-0001-9269-334X"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changyin Sun","raw_affiliation_strings":["School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9269-334X","affiliations":[{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":1.6759,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85997504,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":"2","first_page":"1650","last_page":"1658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.4099999964237213,"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":0.4099999964237213,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7613887786865234},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5582881569862366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49686864018440247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36854419112205505},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20054039359092712},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07783886790275574}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7613887786865234},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5582881569862366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49686864018440247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36854419112205505},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20054039359092712},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07783886790275574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetci.2024.3452119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetci.2024.3452119","pdf_url":null,"source":{"id":"https://openalex.org/S4210210251","display_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","issn_l":"2471-285X","issn":["2471-285X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computational Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6302712814","display_name":null,"funder_award_id":"62373100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8035212347","display_name":null,"funder_award_id":"62233003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2117934716","https://openalex.org/W2509924317","https://openalex.org/W2586101872","https://openalex.org/W2908261578","https://openalex.org/W2952465248","https://openalex.org/W2979619501","https://openalex.org/W2982316857","https://openalex.org/W2991046523","https://openalex.org/W3008967682","https://openalex.org/W3021603984","https://openalex.org/W3035200689","https://openalex.org/W3129616587","https://openalex.org/W3166816823","https://openalex.org/W3188610744","https://openalex.org/W3202069065","https://openalex.org/W4205531740","https://openalex.org/W4213279801","https://openalex.org/W4293232940","https://openalex.org/W4296691856","https://openalex.org/W4316654748","https://openalex.org/W4385381809","https://openalex.org/W4390638728","https://openalex.org/W6738796088","https://openalex.org/W6748839928","https://openalex.org/W6767151588","https://openalex.org/W6783838878","https://openalex.org/W6800877681","https://openalex.org/W6840107105"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588"],"abstract_inverted_index":{"Despite":[0],"the":[1,39,56,68,122,139,147,165,181,204],"significant":[2],"advancements":[3],"in":[4,19,156,211],"single-agent":[5],"evolutionary":[6,11,26,99],"reinforcement":[7,12,30,100],"learning,":[8],"research":[9],"exploring":[10],"learning":[13,31,101],"within":[14],"multi-agent":[15,98],"systems":[16],"is":[17,131,186],"still":[18],"its":[20,208],"nascent":[21],"stage.":[22],"The":[23],"integration":[24],"of":[25,48,71,124,141,184,213],"algorithms":[27],"(EA)":[28],"and":[29,41,61,73,93,95,115,153,194],"(RL)":[32],"has":[33],"partially":[34],"mitigated":[35],"RL's":[36],"reliance":[37],"on":[38,55,67,103,169,191,197],"environment":[40],"provided":[42],"it":[43],"with":[44,188],"an":[45],"ample":[46],"supply":[47],"data.":[49],"Nonetheless,":[50],"existing":[51],"studies":[52],"primarily":[53],"focus":[54],"indirect":[57],"collaboration":[58,112],"between":[59,91,113,180],"RL":[60,114,152,162,195],"EA,":[62,116],"which":[63],"lacks":[64],"sufficient":[65],"exploration":[66],"effective":[69],"balance":[70,179],"individual":[72,118,198],"team":[74,125,192],"rewards.":[75,199],"To":[76],"address":[77],"this":[78,80],"problem,":[79],"study":[81],"introduces":[82],"game":[83],"theory":[84],"to":[85,137,144,159],"establish":[86],"a":[87,97,128,134,178],"dynamic":[88],"cooperation":[89],"framework":[90,107],"EA":[92,154,189],"RL,":[94],"proposes":[96],"based":[102,168],"cooperative":[104,129,157],"games.":[105],"This":[106],"facilitates":[108],"more":[109],"efficient":[110],"direct":[111],"enhancing":[117],"rewards":[119,185,193],"while":[120],"ensuring":[121],"attainment":[123],"objectives.":[126],"Initially,":[127],"policy":[130,167],"formed":[132],"through":[133,174],"joint":[135],"network":[136],"simplify":[138],"parameters":[140],"each":[142],"agent":[143],"speed":[145],"up":[146],"overall":[148],"training":[149],"process.":[150],"Subsequently,":[151],"engage":[155],"games":[158],"determine":[160],"whether":[161],"jointly":[163],"optimizes":[164],"same":[166],"Pareto":[170],"optimal":[171],"results.":[172],"Lastly,":[173],"double":[175],"objectives":[176],"optimization,":[177],"two":[182],"types":[183],"achieved,":[187],"focusing":[190,196],"Experimental":[200],"results":[201],"demonstrate":[202],"that":[203],"proposed":[205],"algorithm":[206],"outperforms":[207],"single-algorithm":[209],"counterparts":[210],"terms":[212],"competitiveness.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}