{"id":"https://openalex.org/W3196869853","doi":"https://doi.org/10.1109/tnnls.2021.3105869","title":"UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios","display_name":"UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios","publication_year":2021,"publication_date":"2021-08-30","ids":{"openalex":"https://openalex.org/W3196869853","doi":"https://doi.org/10.1109/tnnls.2021.3105869","mag":"3196869853","pmid":"https://pubmed.ncbi.nlm.nih.gov/34460404"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3105869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105869","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2203.14477","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073383645","display_name":"Jiajun Chai","orcid":"https://orcid.org/0000-0002-7611-064X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Chai","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7611-064X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006442353","display_name":"Weifan Li","orcid":"https://orcid.org/0000-0003-1871-8355"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifan Li","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080193690","display_name":"Yuanheng Zhu","orcid":"https://orcid.org/0000-0001-5384-423X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanheng Zhu","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5384-423X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624298","display_name":"Dongbin Zhao","orcid":"https://orcid.org/0000-0001-8218-9633"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbin Zhao","raw_affiliation_strings":["State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8218-9633","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106407383","display_name":"Zhe Ma","orcid":"https://orcid.org/0009-0001-6697-4858"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Ma","raw_affiliation_strings":["X-Lab, The Second Academy of CASIC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"X-Lab, The Second Academy of CASIC, Beijing, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088277258","display_name":"Kewu Sun","orcid":"https://orcid.org/0000-0002-1770-304X"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kewu Sun","raw_affiliation_strings":["X-Lab, The Second Academy of CASIC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"X-Lab, The Second Academy of CASIC, Beijing, China","institution_ids":["https://openalex.org/I15089104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091140368","display_name":"Jishiyu Ding","orcid":"https://orcid.org/0000-0002-2726-4677"},"institutions":[{"id":"https://openalex.org/I15089104","display_name":"China Aerospace Science and Industry Corporation (China)","ror":"https://ror.org/0523vvf33","country_code":"CN","type":"company","lineage":["https://openalex.org/I15089104"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jishiyu Ding","raw_affiliation_strings":["X-Lab, The Second Academy of CASIC, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"X-Lab, The Second Academy of CASIC, Beijing, China","institution_ids":["https://openalex.org/I15089104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.2025,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.96209657,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"34","issue":"4","first_page":"2093","last_page":"2104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9993000030517578,"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":0.9993000030517578,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9789999723434448,"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/computer-science","display_name":"Computer science","score":0.7977927923202515},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7399270534515381},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5096924304962158},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.49486154317855835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.492903470993042},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4841073751449585},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4823443293571472},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.41674426198005676},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36209821701049805},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10541826486587524}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7977927923202515},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7399270534515381},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5096924304962158},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.49486154317855835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.492903470993042},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4841073751449585},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4823443293571472},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.41674426198005676},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36209821701049805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10541826486587524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tnnls.2021.3105869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105869","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34460404","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34460404","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null},{"id":"pmh:oai:arXiv.org:2203.14477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.14477","pdf_url":"https://arxiv.org/pdf/2203.14477","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2203.14477","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2203.14477","pdf_url":"https://arxiv.org/pdf/2203.14477","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":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1594336315","display_name":null,"funder_award_id":"2018AAA0102404","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6023506935","display_name":null,"funder_award_id":"XDA27030400","funder_id":"https://openalex.org/F4320321133","funder_display_name":"Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1641379095","https://openalex.org/W2012812921","https://openalex.org/W2145339207","https://openalex.org/W2338351427","https://openalex.org/W2617547828","https://openalex.org/W2747213132","https://openalex.org/W2756196406","https://openalex.org/W2768629321","https://openalex.org/W2785556016","https://openalex.org/W2793780249","https://openalex.org/W2803623613","https://openalex.org/W2887897884","https://openalex.org/W2897822515","https://openalex.org/W2911573951","https://openalex.org/W2911917164","https://openalex.org/W2914154006","https://openalex.org/W2963658727","https://openalex.org/W2963890729","https://openalex.org/W2964199361","https://openalex.org/W2966477753","https://openalex.org/W2968764495","https://openalex.org/W2987046690","https://openalex.org/W2997536466","https://openalex.org/W3004640943","https://openalex.org/W3004732081","https://openalex.org/W3035222159","https://openalex.org/W3035569762","https://openalex.org/W3036329728","https://openalex.org/W3043763914","https://openalex.org/W3046288222","https://openalex.org/W3099134564","https://openalex.org/W3110979110","https://openalex.org/W6684921986","https://openalex.org/W6738796088","https://openalex.org/W6741408367","https://openalex.org/W6744537943","https://openalex.org/W6749304979","https://openalex.org/W6752380930","https://openalex.org/W6758846586","https://openalex.org/W6762373827","https://openalex.org/W6762491519","https://openalex.org/W6766390276","https://openalex.org/W6773620346","https://openalex.org/W6773690109","https://openalex.org/W6775529125","https://openalex.org/W6779109570","https://openalex.org/W6779612272","https://openalex.org/W6781750019","https://openalex.org/W6783196708"],"related_works":["https://openalex.org/W2180954594","https://openalex.org/W2052835778","https://openalex.org/W2049003611","https://openalex.org/W2108418243","https://openalex.org/W2127804977","https://openalex.org/W164103134","https://openalex.org/W2787352659","https://openalex.org/W1970611213","https://openalex.org/W4206560911","https://openalex.org/W4372260270"],"abstract_inverted_index":{"Multiagent":[0,73],"reinforcement":[1],"learning":[2],"methods,":[3],"such":[4],"as":[5],"VDN,":[6],"QMIX,":[7],"and":[8,25,36,52,81,153,167,209],"QTRAN,":[9],"that":[10,141],"adopt":[11],"centralized":[12],"training":[13],"with":[14,120,171],"decentralized":[15],"execution":[16],"(CTDE)":[17],"framework":[18],"have":[19],"shown":[20],"promising":[21],"results":[22,170],"in":[23,28,58,84,103,124,130,214],"cooperation":[24],"competition.":[26],"However,":[27],"some":[29],"multiagent":[30,85],"scenarios,":[31,51],"the":[32,37,40,53,79,89,95,101,109,117,128,149,154,169,189],"number":[33,80,105],"of":[34,39,144,178],"agents":[35,195],"size":[38,82],"action":[41,132],"set":[42],"actually":[43],"vary":[44],"over":[45],"time.":[46],"We":[47,87,158],"call":[48],"these":[49],"unshaped":[50],"methods":[54],"mentioned":[55],"above":[56],"fail":[57],"performing":[59],"satisfyingly.":[60],"In":[61],"this":[62],"article,":[63],"we":[64],"propose":[65,88],"a":[66],"new":[67],"method,":[68],"called":[69],"Unshaped":[70],"Networks":[71],"for":[72],"Systems":[74],"(UNMAS),":[75],"which":[76],"adapts":[77],"to":[78,93,100,108,116,126,147,197],"changes":[83],"systems.":[86],"self-weighting":[90],"mixing":[91],"network":[92,140],"factorize":[94],"joint":[96,118],"action-value.":[97],"Its":[98],"adaption":[99],"change":[102,129],"agent":[104,135],"is":[106,142,180],"attributed":[107],"nonlinear":[110],"mapping":[111],"from":[112],"each-agent":[113],"Q":[114],"value":[115],"action-value":[119,139],"individual":[121,138],"weights.":[122],"Besides,":[123],"order":[125],"address":[127],"an":[131,137],"set,":[133],"each":[134],"constructs":[136],"composed":[143],"two":[145],"streams":[146],"evaluate":[148,159],"constant":[150],"environment-oriented":[151],"subset":[152],"varying":[155],"unit-oriented":[156],"subset.":[157],"UNMAS":[160,179],"on":[161,188],"various":[162],"StarCraft":[163],"II":[164],"micromanagement":[165],"scenarios":[166],"compare":[168],"several":[172],"state-of-the-art":[173],"MARL":[174,204],"algorithms.":[175],"The":[176,194],"superiority":[177],"demonstrated":[181],"by":[182],"its":[183],"highest":[184],"winning":[185],"rates":[186],"especially":[187],"most":[190],"difficult":[191],"scenario":[192],"3s5z_vs_3s6z.":[193],"learn":[196],"perform":[198],"effectively":[199],"cooperative":[200],"behaviors,":[201],"while":[202],"other":[203],"algorithms":[205],"fail.":[206],"Animated":[207],"demonstrations":[208],"source":[210],"code":[211],"are":[212],"provided":[213],"https://sites.google.com/view/unmas.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}