{"id":"https://openalex.org/W4390446540","doi":"https://doi.org/10.1145/3627676.3627678","title":"Learning to Coordinate with Anyone","display_name":"Learning to Coordinate with Anyone","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4390446540","doi":"https://doi.org/10.1145/3627676.3627678"},"language":"en","primary_location":{"id":"doi:10.1145/3627676.3627678","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627676.3627678","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627676.3627678","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth International Conference on Distributed Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627676.3627678","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010997910","display_name":"Lei Yuan","orcid":"https://orcid.org/0009-0007-7595-3104"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Yuan","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0009-0007-7595-3104","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049063919","display_name":"Lihe Li","orcid":"https://orcid.org/0000-0002-7017-6488"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihe Li","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0000-0002-7017-6488","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005123740","display_name":"Ziqian Zhang","orcid":"https://orcid.org/0000-0002-0570-4969"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqian Zhang","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0000-0002-0570-4969","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102969813","display_name":"Feng Chen","orcid":"https://orcid.org/0009-0003-8164-3410"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0009-0003-8164-3410","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001492059","display_name":"Tianyi Zhang","orcid":"https://orcid.org/0009-0009-6156-4903"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Zhang","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0009-0009-6156-4903","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018111759","display_name":"Cong Guan","orcid":"https://orcid.org/0000-0001-9618-6556"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Guan","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0000-0001-9618-6556","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102774763","display_name":"Y. Yu","orcid":"https://orcid.org/0009-0008-8011-3430"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yu","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0009-0008-8011-3430","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621140","display_name":"Zhi\u2010Hua Zhou","orcid":"https://orcid.org/0000-0003-3378-3630"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hua Zhou","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":"https://orcid.org/0000-0003-3378-3630","affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5010997910"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.8374,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79521413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9995999932289124,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9988999962806702,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9944999814033508,"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":0.7189171314239502},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6505858302116394},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.48393112421035767},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4774359166622162},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.42340517044067383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41844138503074646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14425253868103027},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1112927496433258},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.06185314059257507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7189171314239502},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6505858302116394},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.48393112421035767},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4774359166622162},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.42340517044067383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41844138503074646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14425253868103027},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1112927496433258},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06185314059257507},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627676.3627678","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627676.3627678","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627676.3627678","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth International Conference on Distributed Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3627676.3627678","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627676.3627678","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627676.3627678","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Fifth International Conference on Distributed Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4366907579","display_name":null,"funder_award_id":"2020AAA0107200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4684127572","display_name":null,"funder_award_id":"62276124","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G528746023","display_name":null,"funder_award_id":"61921006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5635164781","display_name":null,"funder_award_id":"62022039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390446540.pdf","grobid_xml":"https://content.openalex.org/works/W4390446540.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W2560647685","https://openalex.org/W2747213132","https://openalex.org/W2892258706","https://openalex.org/W2945042120","https://openalex.org/W2968526727","https://openalex.org/W3103635569","https://openalex.org/W4281691770","https://openalex.org/W4285492263","https://openalex.org/W4382202823"],"related_works":["https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2080152487","https://openalex.org/W2239445980","https://openalex.org/W2995553446","https://openalex.org/W2120455979","https://openalex.org/W4200527723","https://openalex.org/W2103102750"],"abstract_inverted_index":{"In":[0,44],"open":[1],"multi-agent":[2,11,128],"environments,":[3],"the":[4,34,63,76,100,116,133,155,199,209],"agents":[5,15,52,69],"may":[6],"encounter":[7],"unexpected":[8],"teammates.":[9,22,43,74],"Classical":[10],"learning":[12,129],"approaches":[13],"train":[14,51],"that":[16,60,68,91,104,172,179],"can":[17,70,146],"only":[18,88],"coordinate":[19,71,137],"with":[20,53,72,94,138,184],"seen":[21],"Recent":[23],"studies":[24],"attempted":[25],"to":[26,32,50,83,106,114,136],"generate":[27],"diverse":[28],"teammates":[29,59,90,103,121,140,145,183],"in":[30,131,154,166,194],"order":[31],"enhance":[33],"generalizable":[35],"coordination":[36,55,175,202],"ability,":[37],"but":[38],"were":[39],"restricted":[40],"by":[41,57],"pre-defined":[42],"this":[45],"work,":[46],"our":[47],"aim":[48],"is":[49,80,112,152],"strong":[54,212],"ability":[56,203],"generating":[58],"fully":[61],"cover":[62],"teammate":[64,77],"policy":[65,78,160],"space,":[66],"so":[67],"any":[73],"Since":[75],"space":[79],"too":[81],"huge":[82],"be":[84,107,147],"enumerated,":[85],"we":[86],"find":[87],"dissimilar":[89],"are":[92],"incompatible":[93,120,144],"controllable":[95],"agents,":[96],"which":[97,132],"highly":[98],"reduces":[99],"number":[101,117],"of":[102,118],"needed":[105],"trained":[108],"with.":[109],"However,":[110],"it":[111],"hard":[113],"determine":[115],"such":[119],"beforehand.":[122],"We":[123,163],"therefore":[124],"introduce":[125],"a":[126,192],"continual":[127],"process,":[130],"agent":[134],"learns":[135],"different":[139],"until":[141],"no":[142],"more":[143],"found.":[148],"The":[149],"above":[150],"idea":[151],"implemented":[153],"proposed":[156],"Macop":[157,180,197],"(Multi-agent":[158],"compatible":[159],"learning)":[161],"algorithm.":[162],"conduct":[164],"experiments":[165],"8":[167],"scenarios":[168,196],"from":[169],"4":[170],"environments":[171],"have":[173],"distinct":[174],"patterns.":[176],"Experiments":[177],"show":[178],"generates":[181],"training":[182],"much":[185],"lower":[186],"compatibility":[187],"than":[188,208],"previous":[189],"methods.":[190],"As":[191],"result,":[193],"all":[195],"achieves":[198],"best":[200],"overall":[201],"while":[204],"never":[205],"significantly":[206],"worse":[207],"baselines,":[210],"showing":[211],"generalization":[213],"ability.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-11T08:15:01.531666","created_date":"2025-10-10T00:00:00"}
