{"id":"https://openalex.org/W7133298289","doi":"https://doi.org/10.48550/arxiv.2603.02196","title":"Conformal Policy Control","display_name":"Conformal Policy Control","publication_year":2026,"publication_date":"2026-03-02","ids":{"openalex":"https://openalex.org/W7133298289","doi":"https://doi.org/10.48550/arxiv.2603.02196"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.02196","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02196","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.02196","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120637392","display_name":"Drew Prinster","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Prinster, Drew","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022723546","display_name":"Clara Fannjiang","orcid":"https://orcid.org/0000-0002-0060-2082"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fannjiang, Clara","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127974078","display_name":"Ji Sung Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Ji Won","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127998444","display_name":"Kyunghyun Cho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cho, Kyunghyun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127998175","display_name":"Anqi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Anqi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111413387","display_name":"Suchi Saria","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saria, Suchi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127909596","display_name":"Samuel Stanton","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stanton, Samuel","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5120637392"],"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":0.36160001158714294,"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":0.36160001158714294,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.06560000032186508,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.044599998742341995,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5776000022888184},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.5705000162124634},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5541999936103821},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5307999849319458},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49000000953674316},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.48660001158714294},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4862000048160553}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5776000022888184},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5622000098228455},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5307999849319458},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49000000953674316},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.48660001158714294},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4862000048160553},{"id":"https://openalex.org/C98214594","wikidata":"https://www.wikidata.org/wiki/Q850275","display_name":"Conformal map","level":2,"score":0.48240000009536743},{"id":"https://openalex.org/C96640997","wikidata":"https://www.wikidata.org/wiki/Q5163004","display_name":"Conservatism","level":3,"score":0.46799999475479126},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.3935999870300293},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30730000138282776},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2770000100135803},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.02196","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02196","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.02196","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02196","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.46545499563217163,"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":{"An":[0],"agent":[1,14],"must":[2,23],"try":[3],"new":[4,79],"behaviors":[5],"to":[6,51,136],"explore":[7],"and":[8,22],"improve.":[9],"In":[10],"high-stakes":[11],"environments,":[12],"an":[13],"that":[15,140],"violates":[16],"safety":[17],"constraints":[18],"may":[19],"cause":[20],"harm":[21],"be":[24],"taken":[25],"offline,":[26],"curtailing":[27],"any":[28,53,62,109],"future":[29],"interaction.":[30],"Imitating":[31],"old":[32],"behavior":[33,43],"is":[34,45,143],"safe,":[35],"but":[36,64,153],"excessive":[37],"conservatism":[38],"discourages":[39],"exploration.":[40],"How":[41],"much":[42],"change":[44],"too":[46],"much?":[47],"We":[48],"show":[49,139],"how":[50,76],"use":[52],"safe":[54,73,141],"reference":[55],"policy":[56,74,80],"as":[57],"a":[58],"probabilistic":[59],"regulator":[60],"for":[61,121],"optimized":[63],"untested":[65],"policy.":[66],"Conformal":[67],"calibration":[68],"on":[69,128],"data":[70],"from":[71,131,147],"the":[72,78,86,99,103,148],"determines":[75],"aggressively":[77],"can":[81,154],"act,":[82],"while":[83],"provably":[84],"enforcing":[85],"user's":[87],"declared":[88],"risk":[89],"tolerance.":[90],"Unlike":[91,111],"conservative":[92],"optimization":[93],"methods,":[94,114],"we":[95],"do":[96],"not":[97,144],"assume":[98],"user":[100],"has":[101],"identified":[102],"correct":[104],"model":[105],"class":[106],"nor":[107],"tuned":[108],"hyperparameters.":[110],"previous":[112],"conformal":[113],"our":[115],"theory":[116],"provides":[117],"finite-sample":[118],"guarantees":[119],"even":[120],"non-monotonic":[122],"bounded":[123],"loss":[124],"functions.":[125],"Our":[126],"experiments":[127],"applications":[129],"ranging":[130],"natural":[132],"language":[133],"question":[134],"answering":[135],"biomolecular":[137],"engineering":[138],"exploration":[142],"only":[145],"possible":[146],"first":[149],"moment":[150],"of":[151],"deployment,":[152],"also":[155],"improve":[156],"performance.":[157]},"counts_by_year":[],"updated_date":"2026-04-18T05:59:34.339393","created_date":"2026-03-04T00:00:00"}
