{"id":"https://openalex.org/W4415067738","doi":"https://doi.org/10.48550/arxiv.2503.08388","title":"V-Max: A Reinforcement Learning Framework for Autonomous Driving","display_name":"V-Max: A Reinforcement Learning Framework for Autonomous Driving","publication_year":2025,"publication_date":"2025-03-11","ids":{"openalex":"https://openalex.org/W4415067738","doi":"https://doi.org/10.48550/arxiv.2503.08388"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2503.08388","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08388","pdf_url":"https://arxiv.org/pdf/2503.08388","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.08388","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093885069","display_name":"Valentin Charraut","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Charraut, Valentin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119950090","display_name":"Wa\u00ebl Doulazmi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doulazmi, Wa\u00ebl","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064123013","display_name":"Thomas Tournaire","orcid":"https://orcid.org/0000-0003-3772-7679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tournaire, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5119950091","display_name":"Thibault Buhet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Buhet, Thibault","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093885069"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":0.9679999947547913,"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":0.9679999947547913,"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":0.9297999739646912,"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":[],"concepts":[],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2503.08388","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08388","pdf_url":"https://arxiv.org/pdf/2503.08388","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2503.08388","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.08388","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.08388","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.08388","pdf_url":"https://arxiv.org/pdf/2503.08388","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Learning-based":[0],"decision-making":[1],"has":[2],"the":[3,13,23,61,81,110],"potential":[4],"to":[5,60,84],"enable":[6],"generalizable":[7],"Autonomous":[8],"Driving":[9],"(AD)":[10],"policies,":[11],"reducing":[12],"engineering":[14],"overhead":[15],"of":[16,63,113],"rule-based":[17],"approaches.":[18],"Imitation":[19],"Learning":[20,46],"(IL)":[21],"remains":[22,57],"dominant":[24],"paradigm,":[25],"benefiting":[26],"from":[27,35],"large-scale":[28,101],"human":[29],"demonstration":[30],"datasets,":[31],"but":[32],"it":[33,105],"suffers":[34],"inherent":[36],"limitations":[37],"such":[38],"as":[39],"distribution":[40],"shift":[41],"and":[42,65],"imitation":[43],"gaps.":[44],"Reinforcement":[45],"(RL)":[47],"presents":[48],"a":[49,95],"promising":[50],"alternative,":[51],"yet":[52],"its":[53],"adoption":[54],"in":[55],"AD":[56,97,115],"limited":[58],"due":[59],"lack":[62],"standardized":[64],"efficient":[66],"research":[67,77],"frameworks.":[68],"To":[69],"this":[70],"end,":[71],"we":[72],"introduce":[73],"V-Max,":[74],"an":[75],"open":[76],"framework":[78],"providing":[79],"all":[80],"necessary":[82],"tools":[83],"make":[85],"RL":[86],"practical":[87],"for":[88,100],"AD.":[89],"V-Max":[90],"is":[91],"built":[92],"on":[93],"Waymax,":[94],"hardware-accelerated":[96],"simulator":[98],"designed":[99],"experimentation.":[102],"We":[103],"extend":[104],"using":[106],"ScenarioNet's":[107],"approach,":[108],"enabling":[109],"fast":[111],"simulation":[112],"diverse":[114],"datasets.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-11T00:00:00"}