{"id":"https://openalex.org/W2202140284","doi":"https://doi.org/10.1609/aaai.v29i1.9616","title":"Agnostic System Identification for Monte Carlo Planning","display_name":"Agnostic System Identification for Monte Carlo Planning","publication_year":2015,"publication_date":"2015-02-21","ids":{"openalex":"https://openalex.org/W2202140284","doi":"https://doi.org/10.1609/aaai.v29i1.9616","mag":"2202140284"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v29i1.9616","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9616","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.v29i1.9616","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054829924","display_name":"Erik Talvitie","orcid":null},"institutions":[{"id":"https://openalex.org/I173146385","display_name":"Franklin & Marshall College","ror":"https://ror.org/04fp4ps48","country_code":"US","type":"education","lineage":["https://openalex.org/I173146385"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Erik Talvitie","raw_affiliation_strings":["Franklin and Marshall College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Franklin and Marshall College","institution_ids":["https://openalex.org/I173146385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054829924"],"corresponding_institution_ids":["https://openalex.org/I173146385"],"apc_list":null,"apc_paid":null,"fwci":0.787,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.70856912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.998199999332428,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.998199999332428,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9979000091552734,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9904000163078308,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7566144466400146},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.7242623567581177},{"id":"https://openalex.org/keywords/dagger","display_name":"Dagger","score":0.7076572775840759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6423073410987854},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6264277696609497},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.530535101890564},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.49604281783103943},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.46660682559013367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32276442646980286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21637484431266785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08111149072647095}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7566144466400146},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.7242623567581177},{"id":"https://openalex.org/C2776277238","wikidata":"https://www.wikidata.org/wiki/Q282364","display_name":"Dagger","level":2,"score":0.7076572775840759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6423073410987854},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6264277696609497},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.530535101890564},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49604281783103943},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.46660682559013367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32276442646980286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21637484431266785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08111149072647095},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1609/aaai.v29i1.9616","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9616","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"},{"id":"pmh:oai:ojs.aaai.org:article/9616","is_oa":true,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/9616","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/9616/9475","source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"Peer-reviewed Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.1095","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.1095","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.fandm.edu/uploads/files/5171467175191349-daggermc-aaai2015.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1609/aaai.v29i1.9616","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v29i1.9616","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/11","score":0.6600000262260437,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1625390266","https://openalex.org/W1758031947","https://openalex.org/W1965324089","https://openalex.org/W2002428251","https://openalex.org/W2012547817","https://openalex.org/W2077052576","https://openalex.org/W2109330238","https://openalex.org/W2123979492","https://openalex.org/W2126316555","https://openalex.org/W2135997697","https://openalex.org/W2137509429","https://openalex.org/W2158796564","https://openalex.org/W2163602945","https://openalex.org/W2404689820","https://openalex.org/W2964349150"],"related_works":["https://openalex.org/W3024645580","https://openalex.org/W3190272771","https://openalex.org/W2383249252","https://openalex.org/W3161925819","https://openalex.org/W2793181646","https://openalex.org/W4300845419","https://openalex.org/W4245892110","https://openalex.org/W2381278952","https://openalex.org/W2146449547","https://openalex.org/W618994464"],"abstract_inverted_index":{"While":[0],"model-based":[1],"reinforcement":[2],"learning":[3],"is":[4,15,22,73,76,120,123],"often":[5],"studied":[6],"under":[7],"the":[8,18,28,46,56,60,65,70,79,87],"assumption":[9],"that":[10,97],"a":[11,50,105],"fully":[12],"accurate":[13,62],"model":[14,19,29,63],"contained":[16],"within":[17],"class,":[20,66],"this":[21],"rarely":[23,78],"true":[24],"in":[25,64,81,129],"practice.":[26],"When":[27],"class":[30],"may":[31,99],"be":[32,37],"fundamentally":[33],"limited,":[34],"it":[35],"can":[36],"difficult":[38],"to":[39,125],"obtain":[40],"theoretical":[41],"guarantees.":[42],"Under":[43],"some":[44,130],"conditions":[45],"DAgger":[47,90,98,112,133],"algorithm":[48,72],"promises":[49],"policy":[51],"nearly":[52],"as":[53,55],"good":[54],"plan":[57],"obtained":[58],"from":[59],"most":[61],"but":[67],"only":[68],"if":[69],"planning":[71,119],"near-optimal,":[74],"which":[75],"also":[77],"case":[80],"complex":[82],"problems.":[83],"This":[84],"paper":[85],"explores":[86],"interaction":[88],"between":[89],"and":[91,122],"Monte":[92,117],"Carlo":[93,118],"planning,":[94],"specifically":[95,113],"showing":[96],"perform":[100],"poorly":[101],"when":[102],"coupled":[103],"with":[104,116],"sub-optimal":[106],"planner.":[107],"A":[108],"novel":[109],"variation":[110],"of":[111],"for":[114],"use":[115],"derived":[121],"shown":[124],"behave":[126],"far":[127],"better":[128],"cases":[131],"where":[132],"fails.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-07T08:38:57.713557","created_date":"2025-10-10T00:00:00"}