{"id":"https://openalex.org/W4391770095","doi":"https://doi.org/10.1109/itsc57777.2023.10421908","title":"Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning","display_name":"Human-Like Decision Making and Planning for Autonomous Driving with Reinforcement Learning","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391770095","doi":"https://doi.org/10.1109/itsc57777.2023.10421908"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10421908","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10421908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","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/A5111128676","display_name":"Ziqi Zong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqi Zong","raw_affiliation_strings":["Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, P.R. China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, P.R. China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010936276","display_name":"Jiamin Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Shi","raw_affiliation_strings":["Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002760019","display_name":"Runsheng Wang","orcid":"https://orcid.org/0000-0002-7514-0767"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runsheng Wang","raw_affiliation_strings":["Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100774271","display_name":"Shitao Chen","orcid":"https://orcid.org/0000-0002-9422-3058"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shitao Chen","raw_affiliation_strings":["Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, P.R. China"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Shunan Academy of Artificial Intelligence, Ningbo, Zhejiang, P.R. China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049"],"affiliations":[{"raw_affiliation_string":"Xi'an Jiaotong University,National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Nation Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics,Xi'an,Shaanxi,P.R. China,710049","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111128676"],"corresponding_institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.115,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45681407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"3922","last_page":"3929"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.7378000020980835,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.7378000020980835,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.7128999829292297,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.6294000148773193,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.8039401769638062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6493384838104248},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.5057730674743652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4540201425552368},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.2078004777431488}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8039401769638062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6493384838104248},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.5057730674743652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4540201425552368},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.2078004777431488}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10421908","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10421908","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1656056944","display_name":null,"funder_award_id":"2022YFB2502900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2120581524","https://openalex.org/W2148361676","https://openalex.org/W2294480821","https://openalex.org/W2736791111","https://openalex.org/W2869375357","https://openalex.org/W2884634491","https://openalex.org/W2896066033","https://openalex.org/W2963215357","https://openalex.org/W2964043796","https://openalex.org/W2971116204","https://openalex.org/W2991137823","https://openalex.org/W3003878797","https://openalex.org/W3040033967","https://openalex.org/W3113314866","https://openalex.org/W3130519362","https://openalex.org/W3132669183","https://openalex.org/W3136325136","https://openalex.org/W3155189219","https://openalex.org/W3184697321","https://openalex.org/W3197234345","https://openalex.org/W3200438282","https://openalex.org/W3203497287","https://openalex.org/W3205257000","https://openalex.org/W3205367325","https://openalex.org/W3207855847","https://openalex.org/W4281561287","https://openalex.org/W4313288953"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2358668433","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W4362501864","https://openalex.org/W2001405890","https://openalex.org/W4380318855","https://openalex.org/W2031695474"],"abstract_inverted_index":{"One":[0],"of":[1,50,58,152],"the":[2,24,48,56,116,139,146],"main":[3],"challenges":[4],"faced":[5],"by":[6,28,119],"autonomous":[7,64],"vehicles":[8,65],"operating":[9],"in":[10,66,73,155],"mixed":[11],"traffic":[12,60],"scenarios":[13],"pertains":[14],"to":[15,23,46,62,124,144,157],"ensuring":[16],"safe":[17],"and":[18,39,70,82,89,141,149],"efficient":[19,71],"navigation,":[20],"particularly":[21],"adhering":[22],"implicit":[25],"rules":[26],"obeyed":[27],"human":[29],"drivers.":[30],"In":[31],"this":[32],"study,":[33],"an":[34],"Adaptive":[35,120],"Socially-Compatible":[36,121],"Hierarchical":[37,87],"Behavior":[38,88],"Motion":[40,90],"Planning":[41,91],"(ASC-HBMP)":[42],"framework":[43],"is":[44],"proposed":[45],"tackle":[47],"issue":[49],"socially-compatible":[51,75],"navigation.":[52],"ASC-HBMP":[53],"comprehensively":[54],"captures":[55],"attributes":[57],"other":[59,158],"participants":[61],"guide":[63],"devising":[67],"human-like,":[68],"safe,":[69],"trajectories":[72,126],"a":[74,78],"manner,":[76],"striking":[77],"balance":[79],"between":[80],"safety":[81],"efficiency":[83],"within":[84],"complex":[85],"multi-scenarios.":[86],"(HBMP)":[92],"establishes":[93],"driving":[94,129],"tasks":[95],"as":[96,104,106],"high-level":[97],"behavioral":[98],"decision-making":[99],"processes":[100],"that":[101,111],"emphasize":[102],"efficiency,":[103],"well":[105],"low-level":[107],"motion":[108],"planning":[109],"methods":[110],"prioritize":[112],"safety.":[113],"HBMP":[114],"accepts":[115],"guidance":[117],"provided":[118],"Module":[122],"(ASCM)":[123],"generate":[125],"with":[127],"diverse":[128],"style":[130],"characteristics.":[131],"Finally,":[132],"cross-platform":[133],"simulation":[134],"experiments":[135],"are":[136],"conducted":[137],"on":[138],"SUMO":[140],"ROS":[142],"simulators":[143],"validate":[145],"navigation":[147],"performance":[148],"generalization":[150],"capability":[151],"our":[153],"approach":[154],"comparison":[156],"baseline":[159],"methods.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}