{"id":"https://openalex.org/W7163133527","doi":"https://doi.org/10.48550/arxiv.2606.01051","title":"Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment","display_name":"Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment","publication_year":2026,"publication_date":"2026-05-31","ids":{"openalex":"https://openalex.org/W7163133527","doi":"https://doi.org/10.48550/arxiv.2606.01051"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.01051","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01051","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.01051","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5137667818","display_name":"Xun Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127819924","display_name":"Yuepeng Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Yuepeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137709120","display_name":"Akifumi Wachi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wachi, Akifumi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137678870","display_name":"Yongqi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yongqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137712231","display_name":"Richard Weiss","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiss, Richard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137686853","display_name":"Yoshihiko Fujisawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fujisawa, Yoshihiko","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137696040","display_name":"Ken Kawano","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kawano, Ken","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047124246","display_name":"Mehrshad Sadria","orcid":"https://orcid.org/0000-0001-9874-9930"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sadria, Mehrshad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137690080","display_name":"Ying Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ying","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137635693","display_name":"Xin Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137621082","display_name":"Sebastien Gros","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gros, Sebastien","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137661708","display_name":"Xiao Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064163755","display_name":"Kyoung\u2010Sook Kim","orcid":"https://orcid.org/0000-0003-0670-8053"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Kyoung-Sook","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137634688","display_name":"Mengmou Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Mengmou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137705547","display_name":"Katsuki Fujisawa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fujisawa, Katsuki","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137624896","display_name":"Kenji Wakabayashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wakabayashi, Kenji","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":0.4781000018119812,"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":0.4781000018119812,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.2021999955177307,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.13330000638961792,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/equidistant","display_name":"Equidistant","score":0.7150999903678894},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5752999782562256},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.5454999804496765},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42329999804496765},{"id":"https://openalex.org/keywords/medical-treatment","display_name":"Medical treatment","score":0.39500001072883606},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.3813999891281128}],"concepts":[{"id":"https://openalex.org/C158245278","wikidata":"https://www.wikidata.org/wiki/Q4386982","display_name":"Equidistant","level":2,"score":0.7150999903678894},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.5454999804496765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510699987411499},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C2982822547","wikidata":"https://www.wikidata.org/wiki/Q179661","display_name":"Medical treatment","level":2,"score":0.39500001072883606},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3813999891281128},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.35530000925064087},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.34850001335144043},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2994999885559082},{"id":"https://openalex.org/C2779328685","wikidata":"https://www.wikidata.org/wiki/Q1475557","display_name":"Patient safety","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2718000113964081},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.01051","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01051","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.01051","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.01051","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Dynamic":[0],"medical":[1],"treatment":[2,5,25,51,70,84,122,143],"requires":[3],"deciding":[4],"intensity":[6],"and":[7,15,53,86,124,142],"intervention":[8],"timing,":[9],"while":[10],"patient":[11],"states":[12],"evolve":[13],"continuously":[14],"adverse":[16],"events":[17],"may":[18],"occur":[19],"between":[20],"clinical":[21,54],"interactions.":[22],"Most":[23],"existing":[24],"learning":[26,119],"methods":[27],"assume":[28],"fixed":[29],"schedules":[30],"or":[31],"enforce":[32],"safety":[33,59,103,141],"only":[34],"at":[35,99],"discrete":[36],"decision":[37,76],"points.":[38],"We":[39,89,112],"propose":[40],"Interaction-Limited":[41],"Safe":[42],"Continuous-Time":[43],"Reinforcement":[44],"Learning,":[45],"a":[46,82,91,126],"framework":[47],"that":[48,95,133],"jointly":[49],"optimizes":[50],"administration":[52],"interaction":[55,100,147],"timing":[56],"under":[57],"trajectory-level":[58],"constraints.":[60],"Our":[61],"key":[62],"idea":[63],"is":[64],"to":[65],"reformulate":[66],"the":[67,105,134],"continuous":[68],"time":[69],"problem":[71],"as":[72],"an":[73],"option-based":[74],"semi-Markov":[75],"process,":[77],"where":[78],"each":[79],"option":[80],"specifies":[81],"continuous-time":[83,107],"policy":[85,118,152],"its":[87],"duration.":[88],"develop":[90],"safety-tightening":[92],"mechanism":[93,138],"showing":[94],"suitably":[96],"constructed":[97],"constraints":[98],"times":[101],"guarantee":[102],"over":[104,145],"full":[106],"trajectory":[108],"with":[109],"high":[110],"probability.":[111],"further":[113],"establish":[114],"finite-sample":[115],"guarantees":[116],"for":[117],"from":[120],"logged":[121],"trajectories":[123],"introduce":[125],"practical":[127],"data-driven":[128],"conservative":[129],"surrogate.":[130],"Experiments":[131],"show":[132],"proposed":[135],"adaptive":[136],"interaction-timing":[137],"improves":[139],"both":[140],"effectiveness":[144],"equidistant":[146],"schemes":[148],"across":[149],"different":[150],"safe":[151],"optimization":[153],"methods.":[154]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-03T00:00:00"}
