{"id":"https://openalex.org/W2798789380","doi":"https://doi.org/10.24963/ijcai.2018/653","title":"Computational Approaches for Stochastic Shortest Path on Succinct MDPs","display_name":"Computational Approaches for Stochastic Shortest Path on Succinct MDPs","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2798789380","doi":"https://doi.org/10.24963/ijcai.2018/653","mag":"2798789380"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/653","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/653","pdf_url":"https://www.ijcai.org/proceedings/2018/0653.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0653.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052607806","display_name":"Krishnendu Chatterjee","orcid":"https://orcid.org/0000-0002-4561-241X"},"institutions":[{"id":"https://openalex.org/I157556583","display_name":"Institute of Science and Technology Austria","ror":"https://ror.org/03gnh5541","country_code":"AT","type":"education","lineage":["https://openalex.org/I157556583"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Krishnendu Chatterjee","raw_affiliation_strings":["IST Austria","IST AUstria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IST Austria","institution_ids":["https://openalex.org/I157556583"]},{"raw_affiliation_string":"IST AUstria","institution_ids":["https://openalex.org/I157556583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031020748","display_name":"Hongfei Fu","orcid":"https://orcid.org/0000-0002-7947-3446"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfei Fu","raw_affiliation_strings":["Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005241421","display_name":"Amir Kafshdar Goharshady","orcid":"https://orcid.org/0000-0003-1702-6584"},"institutions":[{"id":"https://openalex.org/I157556583","display_name":"Institute of Science and Technology Austria","ror":"https://ror.org/03gnh5541","country_code":"AT","type":"education","lineage":["https://openalex.org/I157556583"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Amir Goharshady","raw_affiliation_strings":["IST Austria","IST AUstria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IST Austria","institution_ids":["https://openalex.org/I157556583"]},{"raw_affiliation_string":"IST AUstria","institution_ids":["https://openalex.org/I157556583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077488458","display_name":"Nastaran Okati","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nastaran Okati","raw_affiliation_strings":["Ferdowsi University of Mashhad",", Ferdowsi Univ. of Mashhad"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ferdowsi University of Mashhad","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":", Ferdowsi Univ. of Mashhad","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4700","last_page":"4707"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9988999962806702,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9988999962806702,"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":0.9979000091552734,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9876999855041504,"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/nondeterministic-algorithm","display_name":"Nondeterministic algorithm","score":0.7393972873687744},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6916038990020752},{"id":"https://openalex.org/keywords/shortest-path-problem","display_name":"Shortest path problem","score":0.5990884900093079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.553174614906311},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5514178276062012},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5424258708953857},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.47355973720550537},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46412208676338196},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.41449493169784546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36288344860076904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2944566607475281},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.24605801701545715},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2020823359489441}],"concepts":[{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.7393972873687744},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6916038990020752},{"id":"https://openalex.org/C22590252","wikidata":"https://www.wikidata.org/wiki/Q1058754","display_name":"Shortest path problem","level":3,"score":0.5990884900093079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.553174614906311},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5514178276062012},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5424258708953857},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.47355973720550537},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46412208676338196},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.41449493169784546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36288344860076904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2944566607475281},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.24605801701545715},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2020823359489441},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.24963/ijcai.2018/653","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/653","pdf_url":"https://www.ijcai.org/proceedings/2018/0653.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.08984","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.08984","pdf_url":"https://arxiv.org/pdf/1804.08984","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2798789380","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1804.08984.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:repository.ust.hk:1783.1-107141","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85055697741&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"},{"id":"doi:10.48550/arxiv.1804.08984","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1804.08984","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:10.24963/ijcai.2018/653","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/653","pdf_url":"https://www.ijcai.org/proceedings/2018/0653.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2554063606","display_name":"Efficient Algorithms for Computer Aided Verification","funder_award_id":"ICT15-003","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"},{"id":"https://openalex.org/G2655136877","display_name":null,"funder_award_id":"S11407","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"},{"id":"https://openalex.org/G4360933436","display_name":null,"funder_award_id":"Project ICT15-003","funder_id":"https://openalex.org/F4320321003","funder_display_name":"Vienna Science and Technology Fund"},{"id":"https://openalex.org/G683671635","display_name":null,"funder_award_id":"S11407-N23","funder_id":"https://openalex.org/F4320321181","funder_display_name":"Austrian Science Fund"}],"funders":[{"id":"https://openalex.org/F4320321003","display_name":"Vienna Science and Technology Fund","ror":"https://ror.org/01f9mc681"},{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798789380.pdf","grobid_xml":"https://content.openalex.org/works/W2798789380.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W72346910","https://openalex.org/W642313811","https://openalex.org/W1553182805","https://openalex.org/W2028145673","https://openalex.org/W2098432798","https://openalex.org/W2119567691","https://openalex.org/W2964109678","https://openalex.org/W3103882218"],"related_works":["https://openalex.org/W2965309826","https://openalex.org/W2803651979","https://openalex.org/W3105443234","https://openalex.org/W1704505585","https://openalex.org/W3137324988","https://openalex.org/W2950575324","https://openalex.org/W2912261821","https://openalex.org/W2093104094","https://openalex.org/W120307572","https://openalex.org/W2930306418","https://openalex.org/W1504306194","https://openalex.org/W2255082502","https://openalex.org/W2116739765","https://openalex.org/W2948580656","https://openalex.org/W324124005","https://openalex.org/W2165705794","https://openalex.org/W1985204981","https://openalex.org/W3099417667","https://openalex.org/W3100857140","https://openalex.org/W2037417853"],"abstract_inverted_index":{"We":[0],"consider":[1],"the":[2,15,31,40,60,73,77,88,91,113,123],"stochastic":[3],"shortest":[4],"path":[5],"(SSP)":[6],"problem":[7],"for":[8,54,59,64,80],"succinct":[9,47],"Markov":[10],"decision":[11],"processes":[12],"(MDPs),":[13],"where":[14],"MDP":[16],"consists":[17],"of":[18,21,26,76,90,115],"a":[19,24,85],"set":[20,25],"variables,":[22],"and":[23,56],"nondeterministic":[27],"rules":[28],"that":[29,36],"update":[30],"variables.":[32],"First,":[33],"we":[34,50,83,107],"show":[35],"several":[37,119],"examples":[38,121],"from":[39,122],"AI":[41,124],"literature":[42],"can":[43],"be":[44],"modeled":[45],"as":[46],"MDPs.":[48,105],"Then":[49],"present":[51,84,108],"computational":[52],"approaches":[53],"upper":[55,66],"lower":[57,81],"bounds":[58],"SSP":[61],"problem:":[62],"(a)":[63],"computing":[65],"bounds,":[67,82],"our":[68,116],"method":[69],"is":[70,100],"polynomial-time":[71,86],"in":[72],"implicit":[74,92],"description":[75],"MDP;":[78],"(b)":[79],"(in":[87],"size":[89],"description)":[93],"reduction":[94],"to":[95,103,111],"quadratic":[96],"programming.":[97],"Our":[98],"approach":[99,117],"applicable":[101],"even":[102],"infinite-state":[104],"Finally,":[106],"experimental":[109],"results":[110],"demonstrate":[112],"effectiveness":[114],"on":[118],"classical":[120],"literature.":[125]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
