{"id":"https://openalex.org/W7138942156","doi":"https://doi.org/10.1609/aaai.v40i43.40965","title":"Probabilistic Safety Verification of Neural Policies via Predicate Abstraction","display_name":"Probabilistic Safety Verification of Neural Policies via Predicate Abstraction","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138942156","doi":"https://doi.org/10.1609/aaai.v40i43.40965"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i43.40965","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i43.40965","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i43.40965","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020095649","display_name":"Marcel Vinzent","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Marcel Vinzent","raw_affiliation_strings":["Saarland University"],"affiliations":[{"raw_affiliation_string":"Saarland University","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028747794","display_name":"Holger Hermanns","orcid":"https://orcid.org/0000-0002-2766-9615"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Holger Hermanns","raw_affiliation_strings":["Saarland University"],"affiliations":[{"raw_affiliation_string":"Saarland University","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130142050","display_name":"J\u00f6rg Hoffmann","orcid":null},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"J\u00f6rg Hoffmann","raw_affiliation_strings":["Saarland University\nGerman Research Center for Artificial Intelligence"],"affiliations":[{"raw_affiliation_string":"Saarland University\nGerman Research Center for Artificial Intelligence","institution_ids":["https://openalex.org/I33256026"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020095649"],"corresponding_institution_ids":["https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86188437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"43","first_page":"36438","last_page":"36447"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7404000163078308,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.7404000163078308,"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/T10142","display_name":"Formal Methods in Verification","score":0.04529999941587448,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.037300001829862595,"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/predicate-abstraction","display_name":"Predicate abstraction","score":0.8170999884605408},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.8105999827384949},{"id":"https://openalex.org/keywords/probabilistic-ctl","display_name":"Probabilistic CTL","score":0.7261999845504761},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.7200999855995178},{"id":"https://openalex.org/keywords/counterexample","display_name":"Counterexample","score":0.6967999935150146},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.5885000228881836},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4650999903678894}],"concepts":[{"id":"https://openalex.org/C2779907942","wikidata":"https://www.wikidata.org/wiki/Q7239630","display_name":"Predicate abstraction","level":3,"score":0.8170999884605408},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.8105999827384949},{"id":"https://openalex.org/C52063229","wikidata":"https://www.wikidata.org/wiki/Q7246845","display_name":"Probabilistic CTL","level":4,"score":0.7261999845504761},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.7200999855995178},{"id":"https://openalex.org/C162838799","wikidata":"https://www.wikidata.org/wiki/Q596077","display_name":"Counterexample","level":2,"score":0.6967999935150146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166999936103821},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.5885000228881836},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4650999903678894},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4496999979019165},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4212999939918518},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.3709000051021576},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2867000102996826},{"id":"https://openalex.org/C30128091","wikidata":"https://www.wikidata.org/wiki/Q291929","display_name":"Predicate transformer semantics","level":4,"score":0.27300000190734863}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i43.40965","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i43.40965","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i43.40965","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i43.40965","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8162065148353577}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Neural":[0],"networks":[1],"are":[2],"increasingly":[3],"important":[4],"to":[5,36,53,73,103,118,158],"learn":[6],"action":[7],"policies.":[8],"Policy":[9],"predicate":[10],"abstraction":[11,33],"(PPA)":[12],"verifies":[13,44],"safety":[14,45],"of":[15,78,84],"such":[16],"a":[17,119],"neural":[18,106],"policy":[19],"pi":[20,29,113],"by":[21,28,92],"over-approximating":[22],"the":[23,39,57,74,81,127],"state":[24,59],"space":[25,60],"subgraph":[26],"induced":[27],"and":[30,80,135],"using":[31],"counterexample-guided":[32],"refinement":[34],"(CEGAR)":[35],"iteratively":[37],"refine":[38],"abstraction.":[40],"So":[41],"far,":[42],"PPA":[43,52],"in":[46],"non-deterministic":[47],"systems.":[48],"This":[49],"work":[50,97],"extends":[51],"probabilistic":[54,99,153],"verification.":[55],"Extending":[56],"abstract":[58],"computation":[61],"is":[62,114],"relatively":[63],"straightforward.":[64],"Abstraction":[65],"refinement,":[66],"however,":[67],"becomes":[68],"substantially":[69],"more":[70,75],"complex,":[71],"due":[72],"intricate":[76],"form":[77],"counterexamples":[79],"various":[82],"sources":[83],"spuriousness":[85],"it":[86,102],"entails.":[87],"We":[88],"tackle":[89],"this":[90],"challenge":[91],"drawing":[93],"inspiration":[94],"from":[95],"prior":[96],"on":[98,123],"CEGAR,":[100],"empowering":[101],"deal":[104],"with":[105,116],"pi.":[107],"The":[108],"resulting":[109],"algorithm":[110,128],"decides":[111],"whether":[112],"safe":[115],"respect":[117],"desired":[120],"upper":[121,134],"bound":[122],"unsafety":[124],"probability.":[125],"Invoking":[126],"incrementally,":[129],"we":[130],"can":[131,145],"also":[132],"derive":[133,146],"lower":[136],"bounds":[137],"automatically.":[138],"Our":[139],"experiments":[140],"show":[141],"that":[142],"these":[143],"algorithms":[144],"non-trivial":[147],"bounds,":[148],"whereas":[149],"encodings":[150],"into":[151],"state-of-the-art":[152],"model":[154],"checkers":[155],"turn":[156],"out":[157],"be":[159],"ineffective.":[160]},"counts_by_year":[],"updated_date":"2026-03-20T20:54:20.808490","created_date":"2026-03-20T00:00:00"}
