{"id":"https://openalex.org/W3120535490","doi":"https://doi.org/10.1109/icarcv50220.2020.9305441","title":"A Novel Method Combining Leader-Following Control and Reinforcement Learning for Pursuit Evasion Games of Multi-Agent Systems","display_name":"A Novel Method Combining Leader-Following Control and Reinforcement Learning for Pursuit Evasion Games of Multi-Agent Systems","publication_year":2020,"publication_date":"2020-12-13","ids":{"openalex":"https://openalex.org/W3120535490","doi":"https://doi.org/10.1109/icarcv50220.2020.9305441","mag":"3120535490"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv50220.2020.9305441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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/A5045135934","display_name":"Zhe-Yang Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhe-Yang Zhu","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry, (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry, (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100714198","display_name":"Cheng\u2010Lin Liu","orcid":"https://orcid.org/0000-0001-9032-2991"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Lin Liu","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry, (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry, (Ministry of Education), Institute of Automation, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5045135934"],"corresponding_institution_ids":["https://openalex.org/I111599522","https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":1.7256,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86946521,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9746999740600586,"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/T13371","display_name":"Military Defense Systems Analysis","score":0.9592999815940857,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8329408764839172},{"id":"https://openalex.org/keywords/pursuit-evasion","display_name":"Pursuit-evasion","score":0.8101056814193726},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.726897656917572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6927004456520081},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6831732988357544},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.640751302242279},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5373384952545166},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5055468082427979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4712028205394745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15693336725234985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13493043184280396}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8329408764839172},{"id":"https://openalex.org/C2778388243","wikidata":"https://www.wikidata.org/wiki/Q7261573","display_name":"Pursuit-evasion","level":2,"score":0.8101056814193726},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.726897656917572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6927004456520081},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6831732988357544},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.640751302242279},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5373384952545166},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5055468082427979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4712028205394745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15693336725234985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13493043184280396},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv50220.2020.9305441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv50220.2020.9305441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3169347135","display_name":null,"funder_award_id":"JUSRP22014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G990395543","display_name":null,"funder_award_id":"61973139,61473138","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W568318363","https://openalex.org/W1581842928","https://openalex.org/W1997559394","https://openalex.org/W2012431946","https://openalex.org/W2029756211","https://openalex.org/W2091328279","https://openalex.org/W2148610326","https://openalex.org/W2163356059","https://openalex.org/W2171941468","https://openalex.org/W2208125664","https://openalex.org/W2258118913","https://openalex.org/W2317920564","https://openalex.org/W2341521787","https://openalex.org/W2408768628","https://openalex.org/W2580211036","https://openalex.org/W2909445258","https://openalex.org/W2912471136","https://openalex.org/W2926397355","https://openalex.org/W2954093458","https://openalex.org/W2998408620","https://openalex.org/W3011621039"],"related_works":["https://openalex.org/W2057376130","https://openalex.org/W2066807010","https://openalex.org/W4248803515","https://openalex.org/W2352258019","https://openalex.org/W2546733891","https://openalex.org/W3037033265","https://openalex.org/W2902449143","https://openalex.org/W4220855336","https://openalex.org/W2745069496","https://openalex.org/W2113132579"],"abstract_inverted_index":{"In":[0],"the":[1,11,30,39,59,62,65,76,81,84,89],"existing":[2],"literature,":[3],"many":[4],"methods":[5,19],"have":[6,20,27,58],"been":[7],"utilized":[8],"in":[9,23,70],"solving":[10],"pursuit":[12,51],"evasion":[13,52],"game.":[14],"However,":[15],"most":[16],"of":[17,61,64,83,91],"these":[18],"one":[21],"thing":[22],"common:":[24],"all":[25],"pursuers":[26,57,79],"to":[28],"know":[29],"evader's":[31],"position.":[32],"This":[33],"paper":[34],"presents":[35],"a":[36,50],"method":[37],"combining":[38],"multi-agent":[40],"leader-following":[41],"control":[42],"and":[43],"reinforcement":[44],"learning,":[45],"which":[46],"aims":[47],"at":[48],"addressing":[49],"game":[53],"only":[54],"when":[55],"partial":[56],"knowledge":[60],"position":[63],"evader":[66],"who":[67],"moves":[68],"randomly":[69],"two-dimensional":[71],"grid":[72],"space.":[73],"Through":[74],"decomposing":[75],"team":[77],"task,":[78],"realize":[80],"encirclement":[82],"evader.":[85],"Simulation":[86],"experiment":[87],"validates":[88],"effectiveness":[90],"our":[92],"method.":[93]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}