{"id":"https://openalex.org/W7160282477","doi":"https://doi.org/10.48550/arxiv.2605.01805","title":"MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning","display_name":"MAGIC: Multi-Step Advantage-Gated Causal Influence for Multi-agent Reinforcement Learning","publication_year":2026,"publication_date":"2026-05-03","ids":{"openalex":"https://openalex.org/W7160282477","doi":"https://doi.org/10.48550/arxiv.2605.01805"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.01805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01805","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.01805","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135294763","display_name":"Haohan Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Haohan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102623999","display_name":"Jinmiao Cong","orcid":"https://orcid.org/0000-0002-3929-6641"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong, Jinmiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135288602","display_name":"Shengzhi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shengzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135355036","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0003-4134-9295"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Lu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101408951","display_name":"Chanjuan Liu","orcid":"https://orcid.org/0000-0002-8132-2380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Chanjuan","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":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":0.7646999955177307,"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":0.7646999955177307,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.043299999088048935,"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/T11431","display_name":"Action Observation and Synchronization","score":0.018200000748038292,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6193000078201294},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44589999318122864},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43689998984336853},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.41690000891685486},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.40709999203681946},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.40070000290870667}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6193000078201294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5958999991416931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5336999893188477},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44589999318122864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43689998984336853},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.40070000290870667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37869998812675476},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34929999709129333},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.3203999996185303},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31940001249313354},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C2777704519","wikidata":"https://www.wikidata.org/wiki/Q45732","display_name":"MAGIC (telescope)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.2865999937057495},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.27000001072883606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.01805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01805","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":"doi:10.48550/arxiv.2605.01805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.01805","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4842150807380676}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"A":[0],"key":[1],"challenge":[2],"in":[3,9],"multi-agent":[4],"reinforcement":[5],"learning":[6,11],"(MARL)":[7],"lies":[8],"designing":[10],"signals":[12,21],"that":[13,49,109],"effectively":[14],"promote":[15],"coordination":[16],"among":[17],"agents.":[18],"Designing":[19],"such":[20],"requires":[22],"estimating":[23],"how":[24],"one":[25],"agent's":[26],"current":[27],"action":[28,52,66],"affects":[29],"its":[30],"teammates":[31],"over":[32],"future":[33],"interaction":[34],"steps.":[35],"To":[36],"address":[37],"this,":[38],"we":[39],"introduce":[40],"Multi-step":[41],"Advantage-Gated":[42],"Interventional":[43],"Causal":[44],"MARL":[45],"(MAGIC),":[46],"a":[47,79],"framework":[48],"estimates":[50],"multi-step":[51],"effects":[53],"between":[54],"agents":[55],"and":[56,74,77,101,106,124],"selectively":[57],"converts":[58],"them":[59],"into":[60],"intrinsic":[61],"rewards.":[62],"MAGIC":[63,110],"uses":[64],"counterfactual":[65,75],"interventions":[67],"to":[68,84],"compare":[69],"teammate":[70],"futures":[71],"under":[72],"factual":[73],"branches,":[76],"introduces":[78],"gate":[80],"based":[81],"on":[82,96],"advantage":[83],"direct":[85],"exploration":[86],"toward":[87],"beneficial":[88],"behaviors":[89],"aligned":[90],"with":[91,116],"the":[92],"task":[93],"goal.":[94],"Experiments":[95],"Multi-Agent":[97],"Particle":[98],"Environments":[99],"(MPE)":[100],"StarCraft":[102],"micromanagement":[103],"benchmarks":[104],"(SMAC":[105],"SMACv2)":[107],"show":[108],"consistently":[111],"outperforms":[112],"leading":[113],"prior":[114],"methods,":[115],"average":[117],"relative":[118],"final":[119],"performance":[120],"improvements":[121],"of":[122],"26.9%":[123],"10.1%,":[125],"respectively.":[126]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-06T00:00:00"}