{"id":"https://openalex.org/W7116956495","doi":"https://doi.org/10.1109/tii.2025.3640714","title":"Multi-UAV Interception Decision-Making via Meta Reinforcement Learning","display_name":"Multi-UAV Interception Decision-Making via Meta Reinforcement Learning","publication_year":2025,"publication_date":"2025-12-23","ids":{"openalex":"https://openalex.org/W7116956495","doi":"https://doi.org/10.1109/tii.2025.3640714"},"language":null,"primary_location":{"id":"doi:10.1109/tii.2025.3640714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3640714","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-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":null,"display_name":"Chenyang Qi","orcid":"https://orcid.org/0009-0006-2205-4933"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenyang Qi","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0009-0006-2205-4933","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Huiping Li","orcid":"https://orcid.org/0000-0003-4620-8993"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiping Li","raw_affiliation_strings":["School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China"],"raw_orcid":"https://orcid.org/0000-0003-4620-8993","affiliations":[{"raw_affiliation_string":"School of Marine Science and Technology, Northwestern Polytechnical University, Xi&#x0027;an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121061757","display_name":"Guangdeng Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tiangong University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangdeng Zong","raw_affiliation_strings":["School of Control Science and Engineering, Tiangong University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-6498-5580","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Tiangong University, Tianjin, China","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.70630675,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"3","first_page":"2447","last_page":"2457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12158","display_name":"Guidance and Control Systems","score":0.6432999968528748,"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":0.6432999968528748,"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/T11133","display_name":"UAV Applications and Optimization","score":0.07339999824762344,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.06710000336170197,"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/interception","display_name":"Interception","score":0.8830000162124634},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6629999876022339},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6283000111579895},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5659000277519226},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5584999918937683},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5404999852180481},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.47540000081062317},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4293999969959259}],"concepts":[{"id":"https://openalex.org/C61270487","wikidata":"https://www.wikidata.org/wiki/Q476843","display_name":"Interception","level":2,"score":0.8830000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7260000109672546},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6283000111579895},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086000204086304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5799000263214111},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5659000277519226},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5584999918937683},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4293999969959259},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.3391999900341034},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3321000039577484},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.33009999990463257},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.3221000134944916},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3057999908924103},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.2854999899864197},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.2775000035762787}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3640714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3640714","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8180249929428101,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5361805742","display_name":null,"funder_award_id":"62273281","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680344404","display_name":null,"funder_award_id":"U22B2039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8352244444","display_name":null,"funder_award_id":"U24B20183","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multi-UAV":[0],"collaborative":[1],"interception":[2,53,82,101,163],"decision-making":[3,21,160],"is":[4,93,146],"a":[5,76,85,106,112,127],"critical":[6],"task":[7,86,107,133],"in":[8,18,28,47,155],"uncrewed":[9],"aerial":[10],"vehicle":[11],"(UAV)":[12],"applications.":[13],"The":[14],"core":[15],"challenge":[16],"lies":[17],"achieving":[19],"real-time":[20],"and":[22,31,55,134],"precise":[23],"coordination":[24],"among":[25],"multiple":[26],"agents":[27],"highly":[29,38],"dynamic":[30],"uncertain":[32],"complex":[33],"environments":[34],"to":[35,95,115,130,150],"successfully":[36],"intercept":[37],"maneuverable":[39],"targets.":[40,102],"However,":[41],"existing":[42],"methods":[43],"still":[44],"fall":[45],"short":[46],"terms":[48],"of":[49,59,100,138,175],"rapid":[50,98],"adaptability":[51],"for":[52,80,161],"decision-making,":[54],"the":[56,97,117,132,136,139,143,162,166,173],"generalization":[57,153],"performance":[58],"traditional":[60],"reinforcement":[61],"learning":[62],"(RL)":[63],"on":[64,90],"new":[65,156],"tasks":[66,121],"needs":[67],"improvement.":[68],"To":[69],"address":[70],"these":[71],"limitations,":[72],"this":[73],"article":[74],"presents":[75],"novel":[77],"meta-RL-based":[78],"approach":[79],"multi-UAV":[81],"decision-making.":[83],"First,":[84],"allocation":[87],"method":[88,145],"based":[89],"greedy":[91],"strategy":[92],"proposed":[94,144],"achieve":[96],"assignment":[99],"Then,":[103],"we":[104],"design":[105],"inference":[108],"model":[109],"that":[110],"employs":[111],"probabilistic":[113],"encoder":[114],"extract":[116],"shared":[118],"structure":[119],"across":[120],"from":[122],"contextual":[123],"information,":[124],"thereby":[125],"generating":[126],"latent":[128],"variable":[129],"represent":[131],"enhance":[135],"training":[137],"algorithm's":[140],"network.":[141],"Meanwhile,":[142],"integrated":[147],"with":[148],"RL":[149],"improve":[151],"its":[152],"capability":[154],"tasks,":[157],"enabling":[158],"fast":[159],"task.":[164],"Finally,":[165],"comparative":[167],"results":[168],"against":[169],"baseline":[170],"algorithms":[171],"validated":[172],"superiority":[174],"our":[176],"method.":[177]},"counts_by_year":[],"updated_date":"2026-03-06T06:45:51.903784","created_date":"2025-12-23T00:00:00"}
