{"id":"https://openalex.org/W7134845483","doi":"https://doi.org/10.48550/arxiv.2603.06607","title":"Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking","display_name":"Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7134845483","doi":"https://doi.org/10.48550/arxiv.2603.06607"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.06607","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128667980","display_name":"Siyuan Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Siyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128652295","display_name":"Lei Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109516603","display_name":"Pranav Maheshwari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maheshwari, Pranav","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128647211","display_name":"Sam Bellefeuille","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bellefeuille, Sam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128684905","display_name":"Kan Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Kan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21047105,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.8141000270843506,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10761","display_name":"Vehicular Ad Hoc Networks (VANETs)","score":0.8141000270843506,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T13553","display_name":"Age of Information Optimization","score":0.027699999511241913,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.02590000070631504,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7121000289916992},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7103000283241272},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.682200014591217},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.628600001335144},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.628000020980835},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.46700000762939453},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4115000069141388},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.39309999346733093}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7121000289916992},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7103000283241272},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.682200014591217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611999869346619},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.628600001335144},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.628000020980835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4794999957084656},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.46700000762939453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.39100000262260437},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37229999899864197},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C2778034918","wikidata":"https://www.wikidata.org/wiki/Q3689301","display_name":"Topology control","level":5,"score":0.30649998784065247},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.26739999651908875}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.06607","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.06607","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.06607","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.06607","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Radio":[0],"resource":[1],"allocation":[2],"(RRA)":[3],"is":[4],"a":[5,31,97,115,232],"critical":[6],"function":[7],"in":[8,68,178,243],"cellular":[9],"vehicle-to-everything":[10],"(C-V2X)":[11],"networks,":[12],"where":[13],"vehicles":[14],"must":[15],"share":[16],"limited":[17,51],"wireless":[18],"resources":[19],"to":[20,61,187],"support":[21],"safety-critical":[22],"communications.":[23],"Multi-agent":[24],"reinforcement":[25],"learning":[26,119],"(MARL)":[27],"has":[28],"emerged":[29],"as":[30,96,171],"promising":[32],"approach":[33],"for":[34,237],"this":[35,90,111,179,229],"problem.":[36],"However,":[37],"key":[38,106],"MARL":[39,107,145,219,241],"challenges,":[40],"including":[41],"non-stationarity,":[42],"coordination":[43],"difficulty,":[44],"large":[45],"action":[46],"space,":[47],"partial":[48],"observability,":[49],"and":[50,53,83,121,124,135,153,165,191,215,221,226,234,239],"robustness":[52,164],"generalization,":[54],"are":[55],"often":[56],"intertwined,":[57],"making":[58],"it":[59],"difficult":[60],"assess":[62],"their":[63],"individual":[64],"impact":[65],"on":[66,76,110,194],"performance":[67],"vehicular":[69,133,169,244],"environments.":[70],"Moreover,":[71],"existing":[72],"studies":[73],"primarily":[74],"focus":[75],"developing":[77],"new":[78],"algorithms,":[79],"while":[80],"systematic":[81,233],"benchmarking":[82],"comparative":[84],"analyses":[85],"remain":[86],"limited.":[87],"To":[88],"address":[89],"gap,":[91],"we":[92,113,142],"formulate":[93],"C-V2X":[94],"RRA":[95],"hierarchy":[98],"of":[99,117,217],"multi-agent":[100],"interference":[101,136],"games":[102],"that":[103],"progressively":[104],"introduce":[105],"challenges.":[108],"Based":[109],"framework,":[112],"develop":[114],"suite":[116],"benchmark":[118,227],"tasks":[120],"construct":[122],"training":[123],"testing":[125],"datasets":[126],"from":[127],"SUMO-generated":[128],"highway":[129],"traces":[130],"with":[131,156],"diverse":[132,168],"topologies":[134,170],"conditions.":[137],"Using":[138],"the":[139,172,195,199,204,212,223],"proposed":[140],"benchmark,":[141],"evaluate":[143],"representative":[144],"algorithms":[146,242],"spanning":[147],"value-based,":[148],"actor-critic,":[149],"Independent":[150],"Learning":[151],"(IL),":[152],"Centralized":[154],"Training":[155],"Decentralized":[157],"Execution":[158],"(CTDE)":[159],"paradigms.":[160],"The":[161],"results":[162],"identify":[163],"generalization":[166],"across":[167],"dominant":[173],"challenge":[174],"among":[175],"those":[176],"considered":[177],"work,":[180],"reducing":[181],"average":[182],"normalized":[183],"return":[184],"by":[185,208],"up":[186],"59":[188],"percentage":[189],"points,":[190],"show":[192],"that,":[193],"most":[196],"challenging":[197],"task,":[198],"best":[200,205],"actor-critic":[201],"method":[202,207],"outperforms":[203],"value-based":[206],"42\\%.":[209],"By":[210],"revealing":[211],"relative":[213],"strengths":[214],"limitations":[216],"different":[218],"paradigms":[220],"open-sourcing":[222],"code,":[224],"datasets,":[225],"suite,":[228],"work":[230],"provides":[231],"reproducible":[235],"foundation":[236],"evaluating":[238],"advancing":[240],"networks.":[245]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-11T00:00:00"}
