{"id":"https://openalex.org/W3111778277","doi":"https://doi.org/10.1109/smc42975.2020.9283355","title":"Learning Effective Value Function Factorization via Attentional Communication","display_name":"Learning Effective Value Function Factorization via Attentional Communication","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3111778277","doi":"https://doi.org/10.1109/smc42975.2020.9283355","mag":"3111778277"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100672632","display_name":"Bo Wu","orcid":"https://orcid.org/0000-0002-7199-6525"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wu","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004298832","display_name":"Yang Xiao-ya","orcid":"https://orcid.org/0000-0002-6414-8413"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoya Yang","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002670314","display_name":"Chuxiong Sun","orcid":"https://orcid.org/0000-0002-4956-6924"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuxiong Sun","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100431163","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-9048-2979"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740224","display_name":"Xiaohui Hu","orcid":"https://orcid.org/0000-0001-5717-8676"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Hu","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057474818","display_name":"Yan Hu","orcid":"https://orcid.org/0000-0003-3899-0436"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Hu","raw_affiliation_strings":["Institute of Softfware Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Softfware Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"629","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9972000122070312,"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":0.9972000122070312,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9679999947547913,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9661999940872192,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8336002826690674},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.6691824197769165},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6373286247253418},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.6265140771865845},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6219867467880249},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5650545358657837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789579212665558},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.44934898614883423},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39066675305366516},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38057661056518555},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34139055013656616},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1445452868938446},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09898969531059265},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07023200392723083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8336002826690674},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.6691824197769165},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6373286247253418},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.6265140771865845},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6219867467880249},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5650545358657837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789579212665558},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.44934898614883423},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39066675305366516},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38057661056518555},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34139055013656616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1445452868938446},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09898969531059265},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07023200392723083},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283355","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283355","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1757796397","https://openalex.org/W2116261113","https://openalex.org/W2136848157","https://openalex.org/W2145339207","https://openalex.org/W2157331557","https://openalex.org/W2166533447","https://openalex.org/W2617547828","https://openalex.org/W2626637010","https://openalex.org/W2746553466","https://openalex.org/W2747213132","https://openalex.org/W2756196406","https://openalex.org/W2766184602","https://openalex.org/W2766447205","https://openalex.org/W2783375473","https://openalex.org/W2914351253","https://openalex.org/W2946606218","https://openalex.org/W2950472486","https://openalex.org/W2962938178","https://openalex.org/W2963588154","https://openalex.org/W2964009285","https://openalex.org/W2964014087","https://openalex.org/W2964193163","https://openalex.org/W2964289358","https://openalex.org/W2979408248","https://openalex.org/W2996549507","https://openalex.org/W3093287223","https://openalex.org/W3104860527"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W2794559785","https://openalex.org/W4391331176","https://openalex.org/W2586732548"],"abstract_inverted_index":{"How":[0],"to":[1,82],"achieve":[2,128],"efficient":[3],"cooperation":[4],"among":[5],"agents":[6,84,118],"in":[7,15],"partially":[8],"observed":[9],"environments":[10],"remains":[11],"an":[12],"overarching":[13],"problem":[14],"multi-agent":[16,33],"reinforcement":[17],"learning":[18,23,47],"(MARL).":[19],"Value":[20],"function":[21,40,71,152],"factorization":[22,41,72,153],"is":[24],"a":[25,66,107,136],"promising":[26],"way":[27],"as":[28],"it":[29,147],"can":[30,119],"efficiently":[31],"address":[32,61],"credit":[34],"assignment":[35],"problem.":[36],"However,":[37],"existing":[38,101,150],"value":[39,50,70,151],"methods":[42,102],"have":[43],"been":[44],"focusing":[45],"on":[46,135],"fully":[48],"decentralized":[49],"functions,":[51],"which":[52,68],"are":[53],"not":[54],"effective":[55],"for":[56],"some":[57],"complex":[58,87],"tasks.":[59],"To":[60],"this":[62],"limitation,":[63],"we":[64,104],"propose":[65],"framework":[67,134],"enhances":[69],"by":[73],"allowing":[74],"communication":[75,98],"during":[76],"execution.":[77],"Communication":[78],"introduces":[79],"extra":[80],"information":[81],"help":[83],"understand":[85],"the":[86,94,112,115,122],"environment":[88],"and":[89,127,144],"learn":[90],"sophisticated":[91],"factorization.":[92],"Furthermore,":[93],"proposed":[95],"mechanism":[96],"of":[97,124,139],"differs":[99],"from":[100],"since":[103],"additionally":[105],"design":[106],"descriptive":[108,116],"key":[109],"along":[110],"with":[111],"message.":[113],"By":[114],"key,":[117],"dynamically":[120],"measure":[121],"importance":[123],"different":[125],"messages":[126],"attentional":[129],"communication.":[130],"We":[131],"evaluate":[132],"our":[133],"challenging":[137],"set":[138],"StarCraft":[140],"II":[141],"micromanagement":[142],"tasks,":[143],"show":[145],"that":[146],"significantly":[148],"outperforms":[149],"methods.":[154]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
