{"id":"https://openalex.org/W4413393417","doi":"https://doi.org/10.23919/acc63710.2025.11107607","title":"From Simulation to Reality: Reinforcement Learning for Real-Time Extreme Vehicle Control","display_name":"From Simulation to Reality: Reinforcement Learning for Real-Time Extreme Vehicle Control","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4413393417","doi":"https://doi.org/10.23919/acc63710.2025.11107607"},"language":"en","primary_location":{"id":"doi:10.23919/acc63710.2025.11107607","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088340618","display_name":"V. Suplin","orcid":null},"institutions":[{"id":"https://openalex.org/I118136607","display_name":"General Motors (United States)","ror":"https://ror.org/05addee68","country_code":"US","type":"company","lineage":["https://openalex.org/I118136607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vladimir Suplin","raw_affiliation_strings":["Software Defined Vehicles, R&D, General Motors,Learning & Controls Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Defined Vehicles, R&D, General Motors,Learning & Controls Systems","institution_ids":["https://openalex.org/I118136607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087370167","display_name":"Oded Yechiel","orcid":null},"institutions":[{"id":"https://openalex.org/I118136607","display_name":"General Motors (United States)","ror":"https://ror.org/05addee68","country_code":"US","type":"company","lineage":["https://openalex.org/I118136607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oded Yechiel","raw_affiliation_strings":["Software Defined Vehicles, R&D, General Motors,Learning & Controls Systems"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Software Defined Vehicles, R&D, General Motors,Learning & Controls Systems","institution_ids":["https://openalex.org/I118136607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I118136607"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26819518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"188","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.951200008392334,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.951200008392334,"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"}},{"id":"https://openalex.org/T14083","display_name":"Extremum Seeking Control Systems","score":0.9273999929428101,"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"}},{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9064000248908997,"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":0.781804084777832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7032040357589722},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4849815368652344},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.4658181667327881},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4180606007575989},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3480948209762573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2894807755947113},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16033703088760376}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.781804084777832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7032040357589722},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4849815368652344},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.4658181667327881},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4180606007575989},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3480948209762573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2894807755947113},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16033703088760376},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc63710.2025.11107607","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc63710.2025.11107607","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1979317847","https://openalex.org/W2023153272","https://openalex.org/W2767050701","https://openalex.org/W2963625099","https://openalex.org/W2968983352","https://openalex.org/W3097634115","https://openalex.org/W3127561923","https://openalex.org/W3205553845","https://openalex.org/W4248339654","https://openalex.org/W4311168004","https://openalex.org/W4362704509"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"Collision":[0],"avoidance":[1,47],"is":[2,118],"a":[3,11,96,108],"critical":[4],"component":[5],"of":[6,14,25,30],"automotive":[7],"safety":[8],"systems":[9],"and":[10,35,70,103],"key":[12],"feature":[13],"autonomous":[15],"vehicles.":[16],"This":[17],"paper":[18],"focuses":[19],"on":[20],"the":[21,36],"lateral":[22],"control":[23],"aspect":[24],"collision":[26,46],"avoidance.":[27],"The":[28,114],"complexity":[29],"vehicle":[31,110],"dynamics,":[32],"environmental":[33],"uncertainties,":[34],"need":[37],"for":[38],"real-time":[39],"computation":[40],"present":[41],"significant":[42],"challenges":[43],"to":[44,63,120],"effective":[45],"control.":[48],"State-of-the-art":[49],"approaches,":[50],"such":[51],"as":[52],"Model":[53],"Predictive":[54],"Control":[55],"(MPC),":[56],"provide":[57],"optimal":[58],"solutions":[59],"but":[60],"are":[61,77],"difficult":[62],"calibrate,":[64],"suffer":[65],"from":[66],"high":[67],"computational":[68,128],"demands,":[69],"can":[71,99],"be":[72,100],"unstable":[73],"when":[74],"simplified":[75],"models":[76],"used.This":[78],"study":[79],"investigates":[80],"an":[81,91],"alternative":[82],"approach":[83],"using":[84],"reinforcement":[85],"learning":[86],"(RL).":[87],"We":[88],"demonstrate":[89],"how":[90],"RL":[92,115],"agent,":[93],"trained":[94],"in":[95,107],"simulated":[97],"environment,":[98],"successfully":[101],"deployed":[102],"perform":[104],"aggressive":[105],"maneuvers":[106],"real":[109],"without":[111],"additional":[112],"training.":[113],"agent\u2019s":[116],"performance":[117],"compared":[119],"state-of-the-art":[121],"controllers,":[122],"showing":[123],"competitive":[124],"results":[125],"with":[126],"lower":[127],"requirements.":[129]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}