{"id":"https://openalex.org/W7161147074","doi":"https://doi.org/10.48550/arxiv.2605.12831","title":"Quantifying Potential Observation Missingness in Inverse Reinforcement Learning","display_name":"Quantifying Potential Observation Missingness in Inverse Reinforcement Learning","publication_year":2026,"publication_date":"2026-05-12","ids":{"openalex":"https://openalex.org/W7161147074","doi":"https://doi.org/10.48550/arxiv.2605.12831"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12831","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":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.2605.12831","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092796582","display_name":"Leo Benac","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benac, Leo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136139863","display_name":"Abhishek Sharma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sharma, Abhishek","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026858918","display_name":"Alihan H\u00fcy\u00fck","orcid":"https://orcid.org/0000-0002-5621-5698"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huyuk, Alihan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136119726","display_name":"Finale Doshi-Velez","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doshi-Velez, Finale","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":0.579800009727478,"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":0.579800009727478,"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":0.08009999990463257,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.03180000185966492,"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/missing-data","display_name":"Missing data","score":0.6352999806404114},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5090000033378601},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.438400000333786},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.27639999985694885},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.2517000138759613}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6597999930381775},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6352999806404114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312000155448914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6176000237464905},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5090000033378601},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.438400000333786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.2517000138759613},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.241799995303154}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12831","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12831","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12831","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7080431580543518,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Inverse":[0],"reinforcement":[1],"learning":[2],"(IRL),":[3],"which":[4],"infers":[5],"reward":[6],"functions":[7],"from":[8],"demonstrations,":[9],"is":[10,50],"a":[11,92,125,153],"valuable":[12],"tool":[13],"for":[14,116,128,135],"modeling":[15],"and":[16,39,131,157],"understanding":[17],"decision-making":[18],"behavior.":[19],"Many":[20],"variants":[21],"of":[22,30,140],"IRL":[23,99],"have":[24],"been":[25],"developed":[26],"to":[27,62,111,120],"capture":[28],"complexities":[29],"human":[31],"decision-making,":[32],"such":[33,69],"as":[34,70],"subjective":[35],"beliefs,":[36],"imperfect":[37],"planning,":[38],"dynamic":[40],"goals.":[41],"However,":[42],"an":[43],"often-overlooked":[44],"issue":[45],"in":[46,143],"real-world":[47],"behavioral":[48,144],"datasets":[49,145],"that":[51,59],"the":[52,63,85,89,94,108,112,117,137],"recorded":[53,113],"data":[54],"may":[55,100],"be":[56,101],"missing":[57,141],"observations":[58,114,142],"were":[60,82],"available":[61,87],"original":[64],"decision-maker.":[65],"In":[66,103],"use-inspired":[67],"settings":[68],"healthcare,":[71],"this":[72,104,129],"can":[73],"make":[74],"expert":[75],"actions":[76,119],"appear":[77,121],"suboptimal,":[78],"even":[79],"when":[80],"they":[81],"near-optimal":[83],"given":[84],"information":[86],"at":[88],"time.":[90],"As":[91],"result,":[93],"rewards":[95],"learned":[96],"by":[97],"standard":[98],"misleading.":[102],"paper,":[105],"we":[106],"identify":[107],"minimal":[109],"perturbations":[110],"needed":[115],"expert's":[118],"optimal.":[122],"We":[123],"develop":[124],"practical":[126],"algorithm":[127],"problem":[130],"demonstrate":[132],"its":[133],"utility":[134],"quantifying":[136],"possible":[138],"extent":[139],"through":[146],"extensive":[147],"experiments":[148],"on":[149],"synthetic":[150],"navigation":[151],"tasks,":[152],"cancer":[154],"treatment":[155,159],"simulator,":[156],"ICU":[158],"data.":[160]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-15T00:00:00"}