{"id":"https://openalex.org/W4416251526","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228411","title":"Enhancing Neural Fictitious Self-Play for Symmetric Team Games: A Two-Stage Training Framework","display_name":"Enhancing Neural Fictitious Self-Play for Symmetric Team Games: A Two-Stage Training Framework","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251526","doi":"https://doi.org/10.1109/ijcnn64981.2025.11228411"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11228411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5100689608","display_name":"Baofeng Zhang","orcid":"https://orcid.org/0000-0001-9475-1021"},"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":true,"raw_author_name":"Baofeng Zhang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Liang","orcid":null},"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":"Hao Liang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675784","display_name":"Zhijun Zhao","orcid":"https://orcid.org/0000-0003-3587-5555"},"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":"Zhijun Zhao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103283436","display_name":"Hui Chang","orcid":"https://orcid.org/0000-0002-0494-1794"},"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":"Hui Chang","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101518879","display_name":"Yang Gao","orcid":"https://orcid.org/0000-0002-5429-6236"},"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":"Yang Gao","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100689608"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41954558,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13371","display_name":"Military Defense Systems Analysis","score":0.006200000178068876,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.002300000051036477,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.7814000248908997},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.7458000183105469},{"id":"https://openalex.org/keywords/air-combat","display_name":"Air combat","score":0.65420001745224},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5740000009536743},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5444999933242798},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5170000195503235},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.49000000953674316},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.46140000224113464}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7814000248908997},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.7458000183105469},{"id":"https://openalex.org/C2988296547","wikidata":"https://www.wikidata.org/wiki/Q471145","display_name":"Air combat","level":2,"score":0.65420001745224},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5740000009536743},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5444999933242798},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5170000195503235},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.49000000953674316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749000072479248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.46869999170303345},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.46140000224113464},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4503999948501587},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3578000068664551},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C2993037506","wikidata":"https://www.wikidata.org/wiki/Q272730","display_name":"Air space","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.3018999993801117},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2953999936580658},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2815999984741211},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C2986897749","wikidata":"https://www.wikidata.org/wiki/Q231761","display_name":"Potential field","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11228411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11228411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1973585542","https://openalex.org/W2065702513","https://openalex.org/W2088956500","https://openalex.org/W2114005590","https://openalex.org/W2128244330","https://openalex.org/W2130939730","https://openalex.org/W2142942818","https://openalex.org/W2160653558","https://openalex.org/W2617547828","https://openalex.org/W2896113121","https://openalex.org/W2897500832","https://openalex.org/W2968331804","https://openalex.org/W2989007673","https://openalex.org/W2991046523","https://openalex.org/W3160569732","https://openalex.org/W3166816823","https://openalex.org/W3217400442","https://openalex.org/W4210445430","https://openalex.org/W4312130767","https://openalex.org/W4382294665","https://openalex.org/W4390343183"],"related_works":[],"abstract_inverted_index":{"Multi-agent":[0],"reinforcement":[1,117],"learning":[2,118],"(MARL)":[3],"has":[4],"demonstrated":[5],"significant":[6],"potential":[7,164],"in":[8,13,142],"addressing":[9],"decision-making":[10,35],"challenges.":[11],"However,":[12],"the":[14,22,99,112,134,137,143,167],"field":[15],"of":[16,24,101,131,136,169],"beyond-visual-range":[17],"(BVR)":[18],"air":[19,64,74,160],"combat":[20,65,75],"scenarios,":[21],"development":[23],"Unmanned":[25],"Combat":[26],"Aerial":[27],"Vehicles":[28],"(UCAVs)":[29],"presents":[30,46],"new":[31],"challenges":[32],"for":[33,53,72,157],"developing":[34],"models,":[36],"including":[37],"issues":[38],"like":[39],"reward":[40,88],"sparsity":[41],"and":[42,84,154],"non-transitivity.":[43],"This":[44],"study":[45],"a":[47,59,68,79,92,104],"novel":[48,123],"two-stage":[49,105],"training":[50,106],"framework":[51,107],"tailored":[52],"symmetric":[54],"zero-sum":[55],"team":[56],"games,":[57],"with":[58,78,119],"focus":[60],"on":[61,91],"2-v-2":[62],"BVR":[63,73],"scenarios.":[66],"Firstly,":[67],"lightweight":[69],"simulation":[70],"environment":[71],"is":[76,95,108,140],"established":[77],"specially":[80],"designed":[81],"observation":[82],"space":[83],"action":[85],"space.":[86],"A":[87],"function":[89],"based":[90],"scripted":[93],"policy":[94,126],"introduced":[96],"to":[97,110,165],"improve":[98],"efficiency":[100],"training.":[102],"Secondly,":[103],"employed":[109],"train":[111],"agents.":[113],"By":[114],"incorporating":[115],"multi-agent":[116],"fictitious":[120],"self-play,":[121],"this":[122,149],"approach":[124,151],"enhances":[125],"adaptability":[127],"against":[128],"various":[129],"types":[130],"opponents.":[132],"Finally,":[133],"performance":[135],"trained":[138],"agents":[139],"evaluated":[141],"simulated":[144],"environment.":[145],"Simulations":[146],"demonstrate":[147],"that":[148],"innovative":[150],"offers":[152],"effective":[153],"adaptive":[155],"solutions":[156],"autonomous":[158],"team-based":[159],"combat,":[161],"highlighting":[162],"its":[163],"advance":[166],"capabilities":[168],"UCAVs.":[170]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-11-14T00:00:00"}
