{"id":"https://openalex.org/W7161784259","doi":"https://doi.org/10.48550/arxiv.2605.18842","title":"Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints","display_name":"Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161784259","doi":"https://doi.org/10.48550/arxiv.2605.18842"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18842","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18842","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":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.2605.18842","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050619633","display_name":"Timofey Tomashevskiy","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tomashevskiy, Timofey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5050619633"],"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":0.64410001039505,"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":0.64410001039505,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.14429999887943268,"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":0.046300001442432404,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8155999779701233},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.6126000285148621},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5210000276565552},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49900001287460327},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.38580000400543213},{"id":"https://openalex.org/keywords/system-safety","display_name":"System safety","score":0.3732999861240387},{"id":"https://openalex.org/keywords/enforcement","display_name":"Enforcement","score":0.37209999561309814},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3517000079154968}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8155999779701233},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.6126000285148621},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5210000276565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5102999806404114},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.5001999735832214},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49900001287460327},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.38580000400543213},{"id":"https://openalex.org/C132835097","wikidata":"https://www.wikidata.org/wiki/Q7663745","display_name":"System safety","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C2779777834","wikidata":"https://www.wikidata.org/wiki/Q4202277","display_name":"Enforcement","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3517000079154968},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35120001435279846},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.30309998989105225},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C2776179734","wikidata":"https://www.wikidata.org/wiki/Q7398668","display_name":"Safety standards","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C42648095","wikidata":"https://www.wikidata.org/wiki/Q7603824","display_name":"State of the Environment","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.25529998540878296},{"id":"https://openalex.org/C2775907273","wikidata":"https://www.wikidata.org/wiki/Q7805281","display_name":"Time constraint","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18842","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18842","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":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.2605.18842","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18842","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":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":{"Safe":[0],"reinforcement":[1,17,43,124,173],"learning":[2,18,44,174],"in":[3,122,130],"nonstationary":[4,140],"environments":[5,133],"requires":[6,175],"safety":[7,51,54,60,65,76,95,120,147,151,197],"mechanisms":[8,111,178],"that":[9,47,102,145,170,179],"adapt":[10,89],"as":[11],"environmental":[12,26,71,82,191],"conditions":[13],"change.":[14],"Standard":[15],"safe":[16,41,171],"methods":[19],"often":[20],"assume":[21],"fixed":[22],"constraints":[23,63,74,101,148],"or":[24],"stable":[25],"conditions,":[27],"which":[28],"can":[29,103],"become":[30],"inadequate":[31],"under":[32,45,134,153],"distribution":[33,154],"shift.":[34],"We":[35,126],"propose":[36],"LILAC+,":[37],"a":[38,113],"framework":[39,129],"for":[40,116],"continual":[42,123,172],"nonstationarity":[46],"combines":[48],"three":[49],"adaptive":[50,146,176],"mechanisms:":[52],"context-based":[53],"constraints,":[55,57],"adaptation-speed":[56],"and":[58,69,118,138,164,195],"budget-to-state":[59],"enforcement.":[61],"Context-based":[62],"adjust":[64],"requirements":[66,77,96],"using":[67],"inferred":[68],"predicted":[70,190],"context.":[72],"Adaptation-speed":[73],"tighten":[75],"when":[78],"the":[79,85,128],"rate":[80],"of":[81],"change":[83],"exceeds":[84],"agent's":[86],"ability":[87],"to":[88,183,189],"safely.":[90],"Budget-to-state":[91],"enforcement":[92],"converts":[93],"cumulative":[94],"into":[97],"local":[98],"state-level":[99],"control":[100],"be":[104],"enforced":[105],"at":[106],"decision":[107],"time.":[108],"Together,":[109],"these":[110],"provide":[112],"unified":[114],"approach":[115],"proactive":[117],"reactive":[119],"adaptation":[121,193],"learning.":[125],"evaluate":[127],"simulated":[131],"driving":[132],"stationary,":[135],"seen":[136],"nonstationary,":[137],"unseen":[139],"conditions.":[141],"The":[142],"results":[143],"show":[144],"substantially":[149],"reduce":[150],"violations":[152],"shift":[155],"while":[156],"maintaining":[157],"competitive":[158],"task":[159],"performance":[160],"compared":[161],"with":[162],"unconstrained":[163],"fixed-constraint":[165],"baselines.":[166],"These":[167],"findings":[168],"suggest":[169],"constraint":[177],"respond":[180],"not":[181],"only":[182],"current":[184],"state":[185],"information":[186],"but":[187],"also":[188],"context,":[192],"demand,":[194],"remaining":[196],"budget.":[198]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-21T00:00:00"}
