{"id":"https://openalex.org/W7154652507","doi":"https://doi.org/10.48550/arxiv.2604.13128","title":"Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions","display_name":"Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154652507","doi":"https://doi.org/10.48550/arxiv.2604.13128"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.13128","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13128","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.2604.13128","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092949894","display_name":"Isaac Remy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Remy, Isaac","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133816027","display_name":"Caleb Chang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chang, Caleb","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133780037","display_name":"Karen Leung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leung, Karen","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.4537999927997589,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.4537999927997589,"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":0.14059999585151672,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.09099999815225601,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.6972000002861023},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5605000257492065},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4555000066757202},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.41780000925064087},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.3939000070095062},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.382099986076355},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.374099999666214},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.3569999933242798}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6972000002861023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636900007724762},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5605000257492065},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396000146865845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4609000086784363},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.3939000070095062},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.374099999666214},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3569999933242798},{"id":"https://openalex.org/C147598955","wikidata":"https://www.wikidata.org/wiki/Q3427818","display_name":"Social responsibility","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3093000054359436},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3027999997138977},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3005000054836273},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C2780440489","wikidata":"https://www.wikidata.org/wiki/Q5227278","display_name":"Data-driven","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C43091099","wikidata":"https://www.wikidata.org/wiki/Q1067788","display_name":"Through-the-lens metering","level":3,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.13128","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13128","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.2604.13128","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.13128","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":[{"score":0.4298839867115021,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Human":[0],"behavior":[1],"in":[2,70],"interactive":[3],"settings":[4],"is":[5],"shaped":[6],"not":[7,144],"only":[8,145],"by":[9,14,115],"individual":[10],"objectives":[11],"but":[12,150],"also":[13,151],"shared":[15],"constraints":[16],"with":[17,86],"others,":[18,38],"such":[19],"as":[20],"safety.":[21],"Understanding":[22],"how":[23,28],"people":[24],"allocate":[25],"responsibility,":[26,159],"i.e.,":[27],"much":[29],"one":[30],"deviates":[31],"from":[32,88],"their":[33],"desired":[34],"policy":[35],"to":[36,92,125],"accommodate":[37],"can":[39],"inform":[40],"the":[41,66,77,111,136,156],"design":[42],"of":[43,80,158,162],"socially":[44],"compliant":[45],"and":[46,102,140],"trustworthy":[47],"autonomous":[48],"systems.":[49],"In":[50],"this":[51],"work,":[52],"we":[53],"introduce":[54],"a":[55,59,81,94,117],"method":[56,134],"for":[57],"learning":[58],"probabilistic":[60],"responsibility":[61,97,107,123],"allocation":[62],"model":[63,112],"that":[64,121,142],"captures":[65],"multimodal":[67],"uncertainty":[68],"inherent":[69],"multi-agent":[71,89,163],"interactions.":[72],"Specifically,":[73],"our":[74,133],"approach":[75],"leverages":[76],"latent":[78],"space":[79],"conditional":[82],"variational":[83],"autoencoder,":[84],"combined":[85],"techniques":[87],"trajectory":[90],"forecasting,":[91],"learn":[93],"distribution":[95],"over":[96],"allocations":[98,124],"conditioned":[99],"on":[100,135],"scene":[101],"agent":[103],"context.":[104],"Although":[105],"ground-truth":[106],"labels":[108],"are":[109,129],"unavailable,":[110],"remains":[113],"tractable":[114],"incorporating":[116],"differentiable":[118],"optimization":[119],"layer":[120],"maps":[122],"induced":[126],"controls,":[127],"which":[128],"available.":[130],"We":[131],"evaluate":[132],"INTERACTION":[137],"driving":[138],"dataset":[139],"demonstrate":[141],"it":[143],"achieves":[146],"strong":[147],"predictive":[148],"performance":[149],"provides":[152],"interpretable":[153],"insights,":[154],"through":[155],"lens":[157],"into":[160],"patterns":[161],"interaction.":[164]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-17T00:00:00"}