{"id":"https://openalex.org/W4391769056","doi":"https://doi.org/10.1109/itsc57777.2023.10422277","title":"Augmented Reinforcement Learning with Efficient Social-Based Motion Prediction for Autonomous Decision-Making","display_name":"Augmented Reinforcement Learning with Efficient Social-Based Motion Prediction for Autonomous Decision-Making","publication_year":2023,"publication_date":"2023-09-24","ids":{"openalex":"https://openalex.org/W4391769056","doi":"https://doi.org/10.1109/itsc57777.2023.10422277"},"language":"en","primary_location":{"id":"doi:10.1109/itsc57777.2023.10422277","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422277","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/A5067956094","display_name":"Rodrigo Guti\u00e9rrez-Moreno","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rodrigo Guti\u00e9rrez-Moreno","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011497193","display_name":"Carlos G\u00f3mez-Hu\u00e9lamo","orcid":"https://orcid.org/0000-0002-3819-3747"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Carlos G\u00f3mez-Huelamo","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069067193","display_name":"Rafael Barea","orcid":"https://orcid.org/0000-0002-4179-6100"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rafael Barea","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101831518","display_name":"Elena L\u00f3pez","orcid":"https://orcid.org/0000-0002-8145-9045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elena L\u00f3pez-Guill\u00e9n","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108816105","display_name":"Felipe Arango","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felipe Arango","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077780013","display_name":"Luis M. Bergasa","orcid":"https://orcid.org/0000-0002-0087-3077"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luis M. Bergasa","raw_affiliation_strings":["University of Alcalá (UAH),Electronics Departament,Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcalá (UAH),Electronics Departament,Spain","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067956094"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25944103,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"abs/1906.05113","issue":null,"first_page":"4167","last_page":"4172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.32120001316070557,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.32120001316070557,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.30799999833106995,"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":0.8724228143692017},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.68050217628479},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5694942474365234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5422341227531433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4226375222206116}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8724228143692017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.68050217628479},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5694942474365234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5422341227531433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4226375222206116}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc57777.2023.10422277","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/itsc57777.2023.10422277","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":0.6499999761581421,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G6304703319","display_name":null,"funder_award_id":"TED2021-130131A-I00,PDC2022-133470-I00","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1569657508","https://openalex.org/W2145339207","https://openalex.org/W2222512263","https://openalex.org/W2565639579","https://openalex.org/W2736601468","https://openalex.org/W2795064979","https://openalex.org/W2802508687","https://openalex.org/W2897752552","https://openalex.org/W2904246096","https://openalex.org/W2951091540","https://openalex.org/W3093963693","https://openalex.org/W3102777717","https://openalex.org/W3108486966","https://openalex.org/W3127561923","https://openalex.org/W3193987867","https://openalex.org/W4287811291","https://openalex.org/W4308119828","https://openalex.org/W4312705088","https://openalex.org/W4313484219","https://openalex.org/W4383109107","https://openalex.org/W4385312460","https://openalex.org/W4385804990","https://openalex.org/W4387885918","https://openalex.org/W6600981286","https://openalex.org/W6634230617","https://openalex.org/W6773319185","https://openalex.org/W6891937993","https://openalex.org/W6922480057"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,26,73],"approach":[4,83,105],"that":[5,103],"improves":[6],"the":[7,34,40,78,87],"efficiency":[8],"and":[9,85,117],"generalization":[10],"capabilities":[11],"of":[12,37],"Reinforcement":[13,49],"Learning-based":[14,50],"autonomous":[15],"vehicles":[16,38],"operating":[17],"in":[18,72,110],"urban":[19],"driving":[20],"scenarios.":[21],"The":[22,58],"proposed":[23,88],"method":[24],"introduces":[25],"Efficient":[27],"Social-based":[28],"Motion":[29],"Prediction":[30],"module,":[31,52],"which":[32],"predicts":[33],"future":[35],"positions":[36],"within":[39],"scenario.":[41],"These":[42],"predictions":[43],"serve":[44],"as":[45,91,93],"input":[46],"to":[47,65],"a":[48],"Decision-Making":[51],"responsible":[53],"for":[54],"executing":[55],"high-level":[56],"actions.":[57],"Proximal":[59],"Policy":[60],"Optimization":[61],"algorithm":[62],"is":[63],"employed":[64],"develop":[66],"our":[67,82,104],"approach.":[68],"We":[69],"conduct":[70],"experiments":[71],"unsignalized":[74],"T-intersection":[75],"scenario":[76],"using":[77],"SMARTS":[79],"framework,":[80],"comparing":[81],"with":[84],"without":[86],"state":[89],"representation,":[90],"well":[92],"against":[94],"various":[95],"baseline":[96],"methods.":[97],"Through":[98],"this":[99],"study,":[100],"we":[101],"demonstrate":[102],"achieves":[106],"performance":[107],"improvements,":[108],"particularly":[109],"scenarios":[111],"involving":[112],"high":[113],"velocities.":[114],"Our":[115],"code":[116],"qualitative":[118],"results":[119],"are":[120],"available":[121],"at":[122],"https://github.com/Cram3r95/argo2goalmp.":[123]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}