{"id":"https://openalex.org/W39325421","doi":null,"title":"Solving generalized semi-Markov decision processes using continuous phase-type distributions","display_name":"Solving generalized semi-Markov decision processes using continuous phase-type distributions","publication_year":2004,"publication_date":"2004-07-25","ids":{"openalex":"https://openalex.org/W39325421","mag":"39325421"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.2387","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~lorens/papers/aaai2004.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026132956","display_name":"H\u00e5kan L. S. Younes","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H\u00e5kan L. S. Younes","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064960456","display_name":"Reid G. Simmons","orcid":"https://orcid.org/0000-0003-3153-0453","observed_orcids":["https://orcid.org/0000-0003-3153-0453"]},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reid Simmons","raw_affiliation_strings":["School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA"],"raw_orcid":"https://orcid.org/0000-0003-3153-0453","affiliations":[{"raw_affiliation_string":"School of Computer Science, Carnegie Mellon Univ., Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.559,"has_fulltext":true,"cited_by_count":70,"citation_normalized_percentile":{"value":0.94438304,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"742","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.16859999299049377,"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":0.16859999299049377,"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/T11125","display_name":"Petri Nets in System Modeling","score":0.13840000331401825,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.10830000042915344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/continuous-time-markov-decision-processes","display_name":"continuous-time Markov decision processes","score":0.8999999761581421},{"id":"https://openalex.org/keywords/semi-markov-decision-process","display_name":"semi-Markov decision process","score":0.9860000014305115},{"id":"https://openalex.org/keywords/uniformization","display_name":"uniformization","score":0.7900000214576721},{"id":"https://openalex.org/keywords/asynchronous-events","display_name":"asynchronous events","score":0.8090000152587891},{"id":"https://openalex.org/keywords/optimal-policy","display_name":"optimal policy","score":0.42399999499320984}],"concepts":[{"id":"https://openalex.org/C149260544","wikidata":"https://www.wikidata.org/wiki/Q7885142","display_name":"Uniformization (probability theory)","level":5,"score":0.9341302514076233},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7424229979515076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475361585617065},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6224367022514343},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5912116765975952},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5081639289855957},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.49247393012046814},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.45689794421195984},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.45446860790252686},{"id":"https://openalex.org/C120375044","wikidata":"https://www.wikidata.org/wiki/Q7180911","display_name":"Phase-type distribution","level":3,"score":0.4529978632926941},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.42078229784965515},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4055827856063843},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.397665411233902},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3623378872871399},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2089390754699707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09305042028427124},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.2387","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.2387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~lorens/papers/aaai2004.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.402.3511","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.402.3511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aaai.org/Papers/AAAI/2004/AAAI04-117.pdf","raw_type":"text"},{"id":"mag:39325421","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/AAAI/2004/AAAI04-117.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420577","display_name":"National Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"National Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3087254","https://openalex.org/W1530444831","https://openalex.org/W1596186423","https://openalex.org/W2003753304","https://openalex.org/W2004428145","https://openalex.org/W2028145673","https://openalex.org/W2049229863","https://openalex.org/W2091540690","https://openalex.org/W2119567691","https://openalex.org/W2134779831","https://openalex.org/W2154602821","https://openalex.org/W2713421705"],"related_works":["https://openalex.org/W7095547500","https://openalex.org/W3000696228","https://openalex.org/W2781772792","https://openalex.org/W7099371605","https://openalex.org/W2623569188","https://openalex.org/W2786117610","https://openalex.org/W2055681817","https://openalex.org/W2163645888","https://openalex.org/W103839881","https://openalex.org/W2744425279"],"abstract_inverted_index":{"We":[0],"introduce":[1],"the":[2,75],"generalized":[3],"semi-Markov":[4,15],"decision":[5,16,22],"process":[6],"(GSMDP)":[7],"as":[8,64],"an":[9,37,65],"extension":[10],"of":[11,77],"continuous-time":[12],"MDPs":[13],"and":[14,27,32,71],"processes":[17,23],"(SMDPs)":[18],"for":[19,68],"modeling":[20],"stochastic":[21],"with":[24],"asynchronous":[25],"events":[26],"actions.":[28],"Using":[29],"phase-type":[30],"distributions":[31],"uniformization,":[33],"we":[34,58,72],"show":[35],"how":[36],"arbitrary":[38],"GSMDP":[39],"can":[40,48,60],"be":[41,50,62],"approximated":[42],"by":[43,89],"a":[44],"discrete-time":[45],"MDP,":[46],"which":[47],"then":[49],"solved":[51],"using":[52],"existing":[53],"MDP":[54],"techniques.":[55,93],"The":[56],"techniques":[57],"present":[59],"also":[61],"seen":[63],"alternative":[66],"approach":[67],"solving":[69],"SMDPs,":[70],"demonstrate":[73],"that":[74],"introduction":[76],"phases":[78],"allows":[79],"us":[80],"to":[81],"generate":[82],"higher":[83],"quality":[84],"policies":[85],"than":[86],"those":[87],"obtained":[88],"standard":[90],"SMDP":[91],"solution":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
