{"id":"https://openalex.org/W4391248687","doi":"https://doi.org/10.1109/tits.2024.3354196","title":"Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit","display_name":"Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit","publication_year":2024,"publication_date":"2024-01-26","ids":{"openalex":"https://openalex.org/W4391248687","doi":"https://doi.org/10.1109/tits.2024.3354196"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3354196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3354196","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.essex.ac.uk/37558/1/Final__Progression_Cognition_Reinforcement_Learning_with_Prioritized_Experience_for_Multi_Vehicle_Pursuit.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101934479","display_name":"Xinhang Li","orcid":"https://orcid.org/0000-0003-3637-5827"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhang Li","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3637-5827","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023032222","display_name":"Yiying Yang","orcid":"https://orcid.org/0009-0008-2312-5179"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiying Yang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056981959","display_name":"Zheng Yuan","orcid":"https://orcid.org/0000-0003-4325-0862"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Yuan","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407625","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-6372-1169"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Centre for Telecommunications Research, King&#x2019;s College London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6372-1169","affiliations":[{"raw_affiliation_string":"Centre for Telecommunications Research, King&#x2019;s College London, London, U.K","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101408634","display_name":"Qinwen Wang","orcid":"https://orcid.org/0000-0002-0591-3859"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinwen Wang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387701","display_name":"Chen Xu","orcid":"https://orcid.org/0000-0001-5041-8796"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xu","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5041-8796","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440301","display_name":"Lei Li","orcid":"https://orcid.org/0000-0002-3204-6527"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Li","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3204-6527","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014610561","display_name":"Jianhua He","orcid":"https://orcid.org/0000-0002-5738-8507"},"institutions":[{"id":"https://openalex.org/I110002522","display_name":"University of Essex","ror":"https://ror.org/02nkf1q06","country_code":"GB","type":"education","lineage":["https://openalex.org/I110002522"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jianhua He","raw_affiliation_strings":["School of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5738-8507","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronics Engineering, University of Essex, Colchester, U.K","institution_ids":["https://openalex.org/I110002522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100351907","display_name":"Lin Zhang","orcid":"https://orcid.org/0000-0003-0424-9965"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","Beijing Big Data Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0424-9965","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Beijing University of Posts and Telecommunications (BUPT), Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Big Data Center, Beijing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5006,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89986741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"25","issue":"8","first_page":"10035","last_page":"10048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9684000015258789,"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":0.9684000015258789,"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/T12810","display_name":"Real-time simulation and control systems","score":0.963100016117096,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.7609007358551025},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5914455652236938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5211279988288879},{"id":"https://openalex.org/keywords/goal-pursuit","display_name":"Goal pursuit","score":0.45797961950302124},{"id":"https://openalex.org/keywords/smooth-pursuit","display_name":"Smooth pursuit","score":0.41988465189933777},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.360686719417572},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3245247006416321},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.15592947602272034},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10754990577697754}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7609007358551025},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5914455652236938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5211279988288879},{"id":"https://openalex.org/C2777536939","wikidata":"https://www.wikidata.org/wiki/Q25054194","display_name":"Goal pursuit","level":2,"score":0.45797961950302124},{"id":"https://openalex.org/C10324989","wikidata":"https://www.wikidata.org/wiki/Q3400677","display_name":"Smooth pursuit","level":3,"score":0.41988465189933777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.360686719417572},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3245247006416321},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.15592947602272034},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10754990577697754},{"id":"https://openalex.org/C153050134","wikidata":"https://www.wikidata.org/wiki/Q760256","display_name":"Eye movement","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tits.2024.3354196","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3354196","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"},{"id":"pmh:oai:repository.essex.ac.uk:37558","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TITS.2024.3354196","pdf_url":"https://repository.essex.ac.uk/37558/1/Final__Progression_Cognition_Reinforcement_Learning_with_Prioritized_Experience_for_Multi_Vehicle_Pursuit.pdf","source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:repository.essex.ac.uk:37558","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TITS.2024.3354196","pdf_url":"https://repository.essex.ac.uk/37558/1/Final__Progression_Cognition_Reinforcement_Learning_with_Prioritized_Experience_for_Multi_Vehicle_Pursuit.pdf","source":{"id":"https://openalex.org/S4306401236","display_name":"Open Access at Essex (University of Essex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I110002522","host_organization_name":"University of Essex","host_organization_lineage":["https://openalex.org/I110002522"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1711299420","display_name":"Cooperative and Intelligent Unmanned Aerial Vehicles for Emergency Response Applications","funder_award_id":"EP/Y028317/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2684404336","display_name":"Semantic 5G Vehicle Communication for Safe Cooperative Autonomous Driving","funder_award_id":"EP/Y027787/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G4384862669","display_name":null,"funder_award_id":"101086228","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G523832124","display_name":"\u57fa\u4e8e\u4efb\u52a1\u7279\u5f81\u7684\u7aef\u8fb9\u4e91\u534f\u540c\u7f51\u7edc\u591a\u57df\u8d44\u6e90\u4f18\u5316\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62071179","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6372845708","display_name":null,"funder_award_id":"EP/Y028317/1","funder_id":"https://openalex.org/F4320314731","funder_display_name":"UK Research and Innovation"},{"id":"https://openalex.org/G780185718","display_name":null,"funder_award_id":"62176024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320314731","display_name":"UK Research and Innovation","ror":"https://ror.org/001aqnf71"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391248687.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W2023775503","https://openalex.org/W2515200182","https://openalex.org/W2809064993","https://openalex.org/W2890745108","https://openalex.org/W2903709398","https://openalex.org/W2914864020","https://openalex.org/W2954093458","https://openalex.org/W2963762747","https://openalex.org/W2997070234","https://openalex.org/W2997502221","https://openalex.org/W3006762012","https://openalex.org/W3035782080","https://openalex.org/W3088218629","https://openalex.org/W3093345403","https://openalex.org/W3102772290","https://openalex.org/W3103493968","https://openalex.org/W3112288498","https://openalex.org/W3116722212","https://openalex.org/W3117545480","https://openalex.org/W3140147451","https://openalex.org/W3165002413","https://openalex.org/W3173760308","https://openalex.org/W3178423299","https://openalex.org/W3196262453","https://openalex.org/W4213246061","https://openalex.org/W4220902452","https://openalex.org/W4224324347","https://openalex.org/W4225677186","https://openalex.org/W4226186026","https://openalex.org/W4280596052","https://openalex.org/W4283392354","https://openalex.org/W4283731179","https://openalex.org/W4312403563","https://openalex.org/W4312950889","https://openalex.org/W4312987110","https://openalex.org/W4313546793","https://openalex.org/W4361855237","https://openalex.org/W4361857614","https://openalex.org/W6687681856","https://openalex.org/W6738796088","https://openalex.org/W6748554570","https://openalex.org/W6766805167","https://openalex.org/W6775529125","https://openalex.org/W6781750019","https://openalex.org/W6784670912","https://openalex.org/W6784778700","https://openalex.org/W6787606924","https://openalex.org/W6804514601"],"related_works":["https://openalex.org/W2333566283","https://openalex.org/W1493248272","https://openalex.org/W1992740644","https://openalex.org/W2042224158","https://openalex.org/W2032419634","https://openalex.org/W2048835277","https://openalex.org/W1989092940","https://openalex.org/W2418111318","https://openalex.org/W4206908912","https://openalex.org/W2182182915"],"abstract_inverted_index":{"Multi-vehicle":[0],"pursuit":[1],"(MVP)":[2],"such":[3],"as":[4],"autonomous":[5],"police":[6],"vehicles":[7],"pursuing":[8,62,83,187,221],"suspects":[9],"is":[10,145,212,244],"important":[11],"but":[12],"very":[13],"challenging":[14,59],"due":[15],"to":[16,49,116,127,147,165,178,184,214],"its":[17,241],"mission":[18],"and":[19,135,156,240],"safety-critical":[20],"nature.":[21],"While":[22],"multi-agent":[23],"reinforcement":[24],"learning":[25,150],"(MARL)":[26],"algorithms":[27,39,66],"have":[28],"been":[29],"proposed":[30],"for":[31,73,102],"MVP":[32,103],"in":[33,44,105,120],"structured":[34],"grid-pattern":[35],"roads,":[36],"the":[37,57,88,118,121,133,141,148],"existing":[38],"use":[40],"random":[41],"training":[42],"samples":[43],"centralized":[45],"learning,":[46],"which":[47,80,152],"leads":[48],"homogeneous":[50],"agents":[51],"showing":[52],"low":[53],"collaboration":[54,155],"performance.":[55,158],"For":[56],"more":[58],"problem":[60],"of":[61,205,255],"multiple":[63],"evaders,":[64],"these":[65],"typically":[67],"select":[68],"a":[69,94,113,180,200],"fixed":[70],"target":[71],"evader":[72],"pursuers":[74],"without":[75],"considering":[76],"dynamic":[77,108,170],"traffic":[78,109,172],"situation,":[79],"significantly":[81],"reduces":[82],"success":[84,242],"rate.":[85],"To":[86],"address":[87],"above":[89],"problems,":[90],"this":[91],"paper":[92],"proposes":[93],"Progression":[95],"Cognition":[96],"Reinforcement":[97],"Learning":[98],"with":[99,199],"Prioritized":[100],"Experience":[101],"(PEPCRL-MVP)":[104],"urban":[106,171,207],"multi-intersection":[107],"scenes.":[110],"PEPCRL-MVP":[111,160,211,219],"uses":[112],"prioritization":[114,142],"network":[115],"assess":[117],"transitions":[119],"global":[122],"experience":[123,137],"replay":[124],"buffer":[125],"according":[126],"each":[128],"MARL":[129,149],"agent\u2019s":[130],"parameters.":[131],"With":[132],"personalized":[134],"prioritized":[136],"set":[138],"selected":[139],"via":[140],"network,":[143],"diversity":[144],"introduced":[146],"process,":[151],"can":[153],"improve":[154],"task-related":[157],"Furthermore,":[159],"employs":[161],"an":[162,206],"attention":[163],"module":[164],"extract":[166],"critical":[167],"features":[168,175],"from":[169],"environments.":[173],"These":[174],"are":[176,262],"used":[177],"develop":[179],"progression":[181],"cognition":[182],"method":[183],"adaptively":[185],"group":[186,190],"vehicles.":[188],"Each":[189],"efficiently":[191],"targets":[192],"one":[193],"evading":[194],"vehicle.":[195],"Extensive":[196],"experiments":[197],"conducted":[198],"simulator":[201],"over":[202,231],"unstructured":[203],"roads":[204],"area":[208],"show":[209],"that":[210,254],"superior":[213],"other":[215],"state-of-the-art":[216],"methods.":[217],"Specifically,":[218],"improves":[220],"efficiency":[222],"by":[223],"3.95":[224],"<inline-formula":[225,246],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[226,247],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[227,248],"<tex-math":[228,249],"notation=\"LaTeX\">$\\%$</tex-math>":[229,250],"</inline-formula>":[230,251],"Twin":[232],"Delayed":[233],"Deep":[234,257],"Deterministic":[235,258],"policy":[236],"gradient-Decentralized":[237],"Multi-Agent":[238,256],"Pursuit":[239],"rate":[243],"34.78":[245],"higher":[252],"than":[253],"Policy":[259],"Gradient.":[260],"Codes":[261],"open-sourced.":[263]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
