{"id":"https://openalex.org/W7224101513","doi":"https://doi.org/10.1142/s273748072650024x","title":"Multi-UAV Cooperative Pursuit Based on Auxiliary Target Prediction and Curiosity-Inspired Hybrid Intrinsic Rewards","display_name":"Multi-UAV Cooperative Pursuit Based on Auxiliary Target Prediction and Curiosity-Inspired Hybrid Intrinsic Rewards","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224101513","doi":"https://doi.org/10.1142/s273748072650024x"},"language":"en","primary_location":{"id":"doi:10.1142/s273748072650024x","doi":"https://doi.org/10.1142/s273748072650024x","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s273748072650024x","pdf_url":null,"source":{"id":"https://openalex.org/S4210200906","display_name":"Guidance Navigation and Control","issn_l":"2737-4807","issn":["2737-4807","2737-4920"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Guidance, Navigation and Control","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1142/s273748072650024x","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160042737","display_name":"Ruixuan Wei","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ruixuan Wei","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121045197","display_name":"Chenkang Huang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenkang Huang","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078113263","display_name":"\u5434\u534e\u5174","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huaxing Wu","raw_affiliation_strings":[""],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045665634","display_name":"Bosong Wei","orcid":"https://orcid.org/0000-0001-7651-7143","observed_orcids":["https://orcid.org/0000-0001-7651-7143"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bosong Wei","raw_affiliation_strings":["https://orcid.org/0000-0001-7651-7143"],"raw_orcid":"https://orcid.org/0000-0001-7651-7143","affiliations":[{"raw_affiliation_string":"https://orcid.org/0000-0001-7651-7143","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036388111","display_name":"Qirui Zhang","orcid":"https://orcid.org/0000-0001-8113-3558","observed_orcids":["https://orcid.org/0000-0001-8113-3558","https://orcid.org/0009-0004-7012-6706"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qirui Zhang","raw_affiliation_strings":["https://orcid.org/0009-0004-7012-6706"],"raw_orcid":"https://orcid.org/0009-0004-7012-6706","affiliations":[{"raw_affiliation_string":"https://orcid.org/0009-0004-7012-6706","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85454591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.8032000064849854,"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":0.8032000064849854,"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/T12158","display_name":"Guidance and Control Systems","score":0.1776999980211258,"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":0.002899999963119626,"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/target-prediction","display_name":"target prediction","score":0.48899999260902405},{"id":"https://openalex.org/keywords/curiosity-driven-exploration","display_name":"curiosity-driven exploration","score":0.7630000114440918},{"id":"https://openalex.org/keywords/intrinsic-rewards","display_name":"intrinsic rewards","score":0.7070000171661377},{"id":"https://openalex.org/keywords/credit-assignment","display_name":"credit assignment","score":0.6899999976158142},{"id":"https://openalex.org/keywords/maddpg","display_name":"MADDPG","score":0.703000009059906},{"id":"https://openalex.org/keywords/multi-agent-reinforcement-learning","display_name":"multi-agent reinforcement learning","score":0.7540000081062317},{"id":"https://openalex.org/keywords/counterfactual-evaluation","display_name":"counterfactual evaluation","score":0.8840000033378601}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6277999877929688},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6039000153541565},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5656999945640564},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5461999773979187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48579999804496765},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.46480000019073486},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42559999227523804},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.3553999960422516},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.3240000009536743},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3140999972820282},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C173064807","wikidata":"https://www.wikidata.org/wiki/Q7233190","display_name":"Position error","level":3,"score":0.3046000003814697},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2809000015258789},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C2777536939","wikidata":"https://www.wikidata.org/wiki/Q25054194","display_name":"Goal pursuit","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s273748072650024x","doi":"https://doi.org/10.1142/s273748072650024x","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s273748072650024x","pdf_url":null,"source":{"id":"https://openalex.org/S4210200906","display_name":"Guidance Navigation and Control","issn_l":"2737-4807","issn":["2737-4807","2737-4920"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Guidance, Navigation and Control","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1142/s273748072650024x","doi":"https://doi.org/10.1142/s273748072650024x","is_oa":true,"landing_page_url":"https://doi.org/10.1142/s273748072650024x","pdf_url":null,"source":{"id":"https://openalex.org/S4210200906","display_name":"Guidance Navigation and Control","issn_l":"2737-4807","issn":["2737-4807","2737-4920"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d"],"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Guidance, Navigation and Control","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3007523655","https://openalex.org/W7125704865","https://openalex.org/W4415992961","https://openalex.org/W7135173375","https://openalex.org/W4383108558","https://openalex.org/W7124169177","https://openalex.org/W7203734396","https://openalex.org/W6929035538","https://openalex.org/W4311926444","https://openalex.org/W7140109651"],"abstract_inverted_index":{"To":[0,104],"address":[1],"the":[2,11,52,57,63,99,107,110,137,141,149,159],"passive":[3,70],"trailing":[4,71],"behavior":[5],"induced":[6],"by":[7,97,145,155],"target":[8,32,46,80],"maneuverability":[9],"and":[10,34,67,93,127,147],"difficulty":[12],"of":[13,101,109,152],"multi-agent":[14,25],"credit":[15,95],"assignment":[16,96],"in":[17],"multi-UAV":[18],"cooperative":[19,164],"pursuit,":[20],"this":[21],"paper":[22],"proposes":[23],"a":[24,45,116,124],"reinforcement":[26],"learning":[27],"algorithm":[28,43,139],"that":[29,78,136],"integrates":[30],"auxiliary":[31,49],"prediction":[33,48,82],"curiosity-inspired":[35],"hybrid":[36,120],"intrinsic":[37,75],"rewards,":[38],"namely":[39],"AP-HIR-MADDPG.":[40],"The":[41],"proposed":[42,111,138],"embeds":[44],"position":[47,81],"task":[50],"into":[51],"centralized":[53],"critic":[54],"network,":[55],"enabling":[56],"shared":[58],"feature":[59],"layer":[60],"to":[61,89],"capture":[62],"target's":[64],"motion":[65],"tendency":[66],"thereby":[68,162],"alleviating":[69],"behavior.":[72],"Meanwhile,":[73],"an":[74],"reward":[76],"mechanism":[77],"combines":[79],"error":[83],"with":[84,113,123,158],"counterfactual":[85],"evaluation":[86],"is":[87,131],"designed":[88],"promote":[90],"effective":[91],"exploration":[92],"improve":[94],"assessing":[98],"contribution":[100],"individual":[102],"actions.":[103],"further":[105],"examine":[106],"feasibility":[108],"method":[112],"real-UAV":[114],"participation,":[115],"cloud":[117],"IoT":[118],"based":[119],"validation":[121],"platform":[122],"one":[125],"physical":[126],"multiple":[128],"virtual":[129],"architecture":[130],"constructed.":[132],"Experimental":[133],"results":[134],"show":[135],"improves":[140],"pursuit":[142,153,165],"success":[143],"rate":[144],"20.7%":[146],"reduces":[148],"average":[150],"number":[151],"steps":[154],"8.05":[156],"compared":[157],"baseline":[160],"method,":[161],"enhancing":[163],"performance.":[166]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2026-10-29T00:00:00"}
