{"id":"https://openalex.org/W7133236477","doi":"https://doi.org/10.48550/arxiv.2602.24191","title":"Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?","display_name":"Resilient Strategies for Stochastic Systems: How Much Does It Take to Break a Winning Strategy?","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133236477","doi":"https://doi.org/10.48550/arxiv.2602.24191"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.24191","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24191","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.24191","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127260149","display_name":"Kush Grover","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Grover, Kush","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124451796","display_name":"Markel Zubia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zubia, Markel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101478596","display_name":"Debraj Chakraborty","orcid":"https://orcid.org/0000-0003-0978-4457"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chakraborty, Debraj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127840014","display_name":"Muqsit Azeem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Azeem, Muqsit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125142127","display_name":"Nils Jansen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jansen, Nils","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074485601","display_name":"Jan K\u0159et\u00ednsk\u00fd","orcid":"https://orcid.org/0000-0002-8122-2881"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kretinsky, Jan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5127260149"],"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":0.32829999923706055,"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":0.32829999923706055,"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/T11413","display_name":"Risk and Portfolio Optimization","score":0.19840000569820404,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.07760000228881836,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/reachability","display_name":"Reachability","score":0.6470000147819519},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.6177999973297119},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6085000038146973},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5770999789237976},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4650999903678894},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.46219998598098755},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.39329999685287476},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.375}],"concepts":[{"id":"https://openalex.org/C136643341","wikidata":"https://www.wikidata.org/wiki/Q1361526","display_name":"Reachability","level":2,"score":0.6470000147819519},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.6177999973297119},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5857999920845032},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4650999903678894},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.375},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.37380000948905945},{"id":"https://openalex.org/C2984125019","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic dynamics","level":2,"score":0.35199999809265137},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.3255999982357025},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C170131372","wikidata":"https://www.wikidata.org/wiki/Q7617811","display_name":"Stochastic control","level":3,"score":0.2989000082015991},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.29179999232292175},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2842999994754791},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.26809999346733093},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2646999955177307},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.24191","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24191","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.24191","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.24191","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":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"study":[1],"the":[2,8,42,52,56,69,76,81,116,125,139],"problem":[3],"of":[4,10,55,65,78,89,123,127,155],"resilient":[5],"strategies":[6,13],"in":[7,30,68,80,135,138],"presence":[9],"uncertainty.":[11],"Resilient":[12],"enable":[14],"an":[15,66],"agent":[16,57],"to":[17,36,62,110,143],"make":[18],"decisions":[19],"that":[20,33,129],"are":[21,28,34],"robust":[22],"against":[23],"disturbances.":[24],"In":[25,71],"particular,":[26],"we":[27,74,93,119,148],"interested":[29],"those":[31],"disturbances":[32,128],"able":[35],"flip":[37],"a":[38,45,63,86],"decision":[39,99],"made":[40],"by":[41],"agent.":[43],"Such":[44],"disturbance":[46],"may,":[47],"for":[48,97,115,133],"instance,":[49,134],"occur":[50],"when":[51],"intended":[53],"action":[54],"cannot":[58],"be":[59],"executed":[60],"due":[61],"malfunction":[64],"actuator":[67],"environment.":[70],"this":[72],"work,":[73],"introduce":[75],"concept":[77],"resilience":[79],"stochastic":[82,111,117],"setting":[83],"and":[84,103],"present":[85],"comprehensive":[87],"set":[88],"fundamental":[90],"problems.":[91],"Specifically,":[92],"discuss":[94],"such":[95],"problems":[96],"Markov":[98],"processes":[100],"with":[101],"reachability":[102],"safety":[104],"objectives,":[105],"which":[106],"also":[107],"smoothly":[108],"extend":[109],"games.":[112],"To":[113],"account":[114],"setting,":[118],"provide":[120],"various":[121],"ways":[122],"aggregating":[124],"amounts":[126],"may":[130],"have":[131],"occurred,":[132],"expectation":[136],"or":[137],"worst":[140],"case.":[141],"Moreover,":[142],"reason":[144],"about":[145],"infinite":[146],"disturbances,":[147],"use":[149],"quantitative":[150],"measures,":[151],"like":[152],"their":[153],"frequency":[154],"occurrence.":[156]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-03-03T00:00:00"}