{"id":"https://openalex.org/W4404570957","doi":"https://doi.org/10.48550/arxiv.2411.11451","title":"Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet","display_name":"Robust Markov Decision Processes: A Place Where AI and Formal Methods Meet","publication_year":2024,"publication_date":"2024-11-18","ids":{"openalex":"https://openalex.org/W4404570957","doi":"https://doi.org/10.48550/arxiv.2411.11451"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2411.11451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.11451","pdf_url":"https://arxiv.org/pdf/2411.11451","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2411.11451","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060649428","display_name":"Marnix Suilen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suilen, Marnix","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073020318","display_name":"Thom Badings","orcid":"https://orcid.org/0000-0002-5235-1967"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Badings, Thom","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097357769","display_name":"Eline M. Bovy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bovy, Eline M.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036097359","display_name":"David Parker","orcid":"https://orcid.org/0000-0003-4137-8862"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parker, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5012669709","display_name":"Nils Jansen","orcid":"https://orcid.org/0000-0003-1318-8973"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jansen, Nils","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":true,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.46939998865127563,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.46939998865127563,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.4041000008583069,"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/computer-science","display_name":"Computer science","score":0.5840126276016235},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.557606041431427},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4750761389732361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40365684032440186},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3251764178276062},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.32022354006767273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2524351477622986},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12391918897628784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5840126276016235},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.557606041431427},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4750761389732361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40365684032440186},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3251764178276062},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.32022354006767273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2524351477622986},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12391918897628784}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2411.11451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.11451","pdf_url":"https://arxiv.org/pdf/2411.11451","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2411.11451","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.11451","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":"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":"pmh:oai:arXiv.org:2411.11451","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.11451","pdf_url":"https://arxiv.org/pdf/2411.11451","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1241064458","display_name":null,"funder_award_id":"101077178","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G2039356335","display_name":null,"funder_award_id":"1160.18.238","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4371345817","display_name":"PrimaVera: Predictive maintenance for Very effective asset management","funder_award_id":"NWA.1160.18.238","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"},{"id":"https://openalex.org/G578781017","display_name":null,"funder_award_id":"834115","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G641195207","display_name":"Provably Correct Policies for Uncertain Partially Observable Markov Decision Processes","funder_award_id":"OCENW.KLEIN.187","funder_id":"https://openalex.org/F4320321800","funder_display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321800","display_name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","ror":"https://ror.org/04jsz6e67"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404570957.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Markov":[0],"decision":[1],"processes":[2],"(MDPs)":[3],"are":[4,13,110],"a":[5,64,70],"standard":[6,88],"model":[7],"for":[8,126],"sequential":[9],"decision-making":[10],"problems":[11],"and":[12,23,81,95,107,118],"widely":[14],"used":[15,111],"across":[16],"many":[17],"scientific":[18],"areas,":[19],"including":[20,115],"formal":[21],"methods":[22,90],"artificial":[24],"intelligence":[25],"(AI).":[26],"MDPs":[27,45],"do,":[28],"however,":[29],"come":[30],"with":[31,123],"the":[32,36,53],"restrictive":[33],"assumption":[34,49],"that":[35],"transition":[37,54],"probabilities":[38,55],"need":[39],"to":[40,56,58,83,104],"be":[41],"precisely":[42],"known.":[43],"Robust":[44],"(RMDPs)":[46],"overcome":[47],"this":[48],"by":[50,86],"instead":[51],"defining":[52],"belong":[57],"some":[59,124],"uncertainty":[60],"set.":[61],"We":[62,98,121],"present":[63],"gentle":[65],"survey":[66],"on":[67,129],"RMDPs,":[68],"providing":[69],"tutorial":[71],"covering":[72],"their":[73],"fundamentals.":[74],"In":[75],"particular,":[76],"we":[77],"discuss":[78,100],"RMDP":[79],"semantics":[80],"how":[82,101,108],"solve":[84],"them":[85],"extending":[87],"MDP":[89],"such":[91],"as":[92],"value":[93],"iteration":[94],"policy":[96],"iteration.":[97],"also":[99],"RMDPs":[102],"relate":[103],"other":[105],"models":[106],"they":[109],"in":[112],"several":[113],"contexts,":[114],"reinforcement":[116],"learning":[117],"abstraction":[119],"techniques.":[120],"conclude":[122],"challenges":[125],"future":[127],"work":[128],"RMDPs.":[130]},"counts_by_year":[],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}