{"id":"https://openalex.org/W3013298095","doi":"https://doi.org/10.1109/tcyb.2020.2979803","title":"Attentive Relational State Representation in Decentralized Multiagent Reinforcement Learning","display_name":"Attentive Relational State Representation in Decentralized Multiagent Reinforcement Learning","publication_year":2020,"publication_date":"2020-03-27","ids":{"openalex":"https://openalex.org/W3013298095","doi":"https://doi.org/10.1109/tcyb.2020.2979803","mag":"3013298095","pmid":"https://pubmed.ncbi.nlm.nih.gov/32224477"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2020.2979803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2979803","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5075201840","display_name":"Xiangyu Liu","orcid":"https://orcid.org/0000-0002-1092-2864"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Liu","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","[Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China.]"],"raw_orcid":"https://orcid.org/0000-0002-1092-2864","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China.]","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023089209","display_name":"Ying Tan","orcid":"https://orcid.org/0000-0001-8243-4731"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Tan","raw_affiliation_strings":["Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","[Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China (e-mail: ytan@pku.edu.cn)]"],"raw_orcid":"https://orcid.org/0000-0001-8243-4731","affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"[Key Laboratory of Machine Perception (Ministry of Education) and Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China (e-mail: ytan@pku.edu.cn)]","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.6949,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87436945,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"52","issue":"1","first_page":"252","last_page":"264"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998000264167786,"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":0.9998000264167786,"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/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.9857000112533569,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9801999926567078,"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":0.7612895369529724},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7607879638671875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5766362547874451},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.500251293182373},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47089818120002747},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4697915315628052},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4344833493232727},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42118537425994873},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.41454654932022095},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41422879695892334},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3571295142173767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3293308615684509},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3203001618385315},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06567758321762085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7612895369529724},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7607879638671875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5766362547874451},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.500251293182373},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47089818120002747},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4697915315628052},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4344833493232727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42118537425994873},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.41454654932022095},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41422879695892334},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3571295142173767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3293308615684509},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3203001618385315},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06567758321762085},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2020.2979803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2020.2979803","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:32224477","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32224477","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2037578385","display_name":null,"funder_award_id":"2015CB352302","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6055517899","display_name":null,"funder_award_id":"61375119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6793358513","display_name":null,"funder_award_id":"61673025","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"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W192919555","https://openalex.org/W1557517019","https://openalex.org/W1641379095","https://openalex.org/W1978295341","https://openalex.org/W2018284512","https://openalex.org/W2059859034","https://openalex.org/W2088956500","https://openalex.org/W2099618002","https://openalex.org/W2104602264","https://openalex.org/W2105482032","https://openalex.org/W2118318536","https://openalex.org/W2145339207","https://openalex.org/W2155968351","https://openalex.org/W2156194062","https://openalex.org/W2173564293","https://openalex.org/W2315775489","https://openalex.org/W2339624293","https://openalex.org/W2345224123","https://openalex.org/W2511127296","https://openalex.org/W2565610523","https://openalex.org/W2604283518","https://openalex.org/W2617547828","https://openalex.org/W2626305543","https://openalex.org/W2746553466","https://openalex.org/W2747213132","https://openalex.org/W2749807327","https://openalex.org/W2758442112","https://openalex.org/W2768629321","https://openalex.org/W2798693700","https://openalex.org/W2807741983","https://openalex.org/W2883532348","https://openalex.org/W2890172044","https://openalex.org/W2890388262","https://openalex.org/W2900127069","https://openalex.org/W2933570795","https://openalex.org/W2949201811","https://openalex.org/W2951527505","https://openalex.org/W2951896791","https://openalex.org/W2962937819","https://openalex.org/W2962938168","https://openalex.org/W2962941327","https://openalex.org/W2963403868","https://openalex.org/W2963461379","https://openalex.org/W2963477884","https://openalex.org/W2963562809","https://openalex.org/W2963588154","https://openalex.org/W2963717208","https://openalex.org/W2963747324","https://openalex.org/W2963858333","https://openalex.org/W2964308564","https://openalex.org/W2964338167","https://openalex.org/W2998367975","https://openalex.org/W3102554291","https://openalex.org/W3209101326","https://openalex.org/W4299335686","https://openalex.org/W6672490383","https://openalex.org/W6675811377","https://openalex.org/W6676522543","https://openalex.org/W6677834374","https://openalex.org/W6682137061","https://openalex.org/W6685444567","https://openalex.org/W6685562342","https://openalex.org/W6687681856","https://openalex.org/W6713411898","https://openalex.org/W6721101288","https://openalex.org/W6734678876","https://openalex.org/W6736572398","https://openalex.org/W6736622323","https://openalex.org/W6738796088","https://openalex.org/W6739901393","https://openalex.org/W6740217080","https://openalex.org/W6747941106","https://openalex.org/W6749032143","https://openalex.org/W6751139674","https://openalex.org/W6752380930","https://openalex.org/W6754417988","https://openalex.org/W6755542948","https://openalex.org/W6757096465","https://openalex.org/W6770126465","https://openalex.org/W6786422567"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W4389832810","https://openalex.org/W3181622257","https://openalex.org/W3163146846"],"abstract_inverted_index":{"In":[0,45,115],"multiagent":[1,99,113],"reinforcement":[2],"learning":[3],"(MARL),":[4],"it":[5,117],"is":[6,56,90],"crucial":[7],"for":[8,71],"each":[9],"agent":[10],"to":[11,22,63,97],"model":[12],"the":[13,24,30,33,36,75,82,86,105,135],"relation":[14],"with":[15],"its":[16],"neighbors.":[17],"Existing":[18],"approaches":[19],"usually":[20],"resort":[21],"concatenate":[23],"features":[25],"of":[26,35],"multiple":[27],"neighbors,":[28],"fixing":[29],"size":[31],"and":[32,43,89,95,127],"identity":[34],"inputs.":[37],"But":[38],"these":[39],"settings":[40],"are":[41],"inflexible":[42],"unscalable.":[44],"this":[46],"article,":[47],"we":[48],"propose":[49],"an":[50,66],"attentive":[51],"relational":[52],"encoder":[53],"(ARE),":[54],"which":[55],"a":[57,130],"novel":[58],"scalable":[59],"feedforward":[60],"neural":[61],"module,":[62],"attentionally":[64],"aggregate":[65],"arbitrary-sized":[67],"neighboring":[68,87],"feature":[69],"set":[70],"state":[72],"representation":[73],"in":[74,111,122],"decentralized":[76,108],"MARL.":[77],"The":[78],"ARE":[79],"actively":[80],"selects":[81],"relevant":[83],"information":[84],"from":[85],"agents":[88],"permutation":[91],"invariant,":[92],"computationally":[93],"efficient,":[94],"flexible":[96],"interactive":[98],"systems.":[100],"Our":[101],"method":[102],"consistently":[103],"outperforms":[104],"latest":[106],"competing":[107],"MARL":[109],"methods":[110],"several":[112],"tasks.":[114],"particular,":[116],"shows":[118],"strong":[119],"cooperative":[120],"performance":[121],"challenging":[123],"StarCraft":[124],"micromanagement":[125],"tasks":[126],"achieves":[128],"over":[129],"96%":[131],"winning":[132],"rate":[133],"against":[134],"most":[136],"difficult":[137],"noncheating":[138],"built-in":[139],"artificial":[140],"intelligence":[141],"bots.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
