{"id":"https://openalex.org/W3147074901","doi":"https://doi.org/10.1109/wsc.2010.5679084","title":"Identifying effective policies in approximate dynamic programming: Beyond regression","display_name":"Identifying effective policies in approximate dynamic programming: Beyond regression","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W3147074901","doi":"https://doi.org/10.1109/wsc.2010.5679084","mag":"3147074901"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2010.5679084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679084","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5072094149","display_name":"Matthew S. Maxwell","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Matthew S. Maxwell","raw_affiliation_strings":["Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075933702","display_name":"Shane G. Henderson","orcid":"https://orcid.org/0000-0003-1004-4034"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shane G. Henderson","raw_affiliation_strings":["Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048544465","display_name":"H\u00fcseyin Topalo\u011flu","orcid":"https://orcid.org/0000-0002-3049-6719"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huseyin Topaloglu","raw_affiliation_strings":["Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Operations Research and Information Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072094149"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":2.3509,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.87969925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1079","last_page":"1087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T11502","display_name":"Facility Location and Emergency Management","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T10969","display_name":"Water resources management and optimization","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.954800009727478,"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/markov-decision-process","display_name":"Markov decision process","score":0.7909934520721436},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.7606499195098877},{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.7479154467582703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7251315116882324},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5927409529685974},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49977731704711914},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4913744032382965},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.48765623569488525},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4670369327068329},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.46517300605773926},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4218125343322754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26305437088012695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2541787028312683},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25320547819137573},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19512680172920227}],"concepts":[{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7909934520721436},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.7606499195098877},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7479154467582703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7251315116882324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5927409529685974},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49977731704711914},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4913744032382965},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.48765623569488525},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4670369327068329},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.46517300605773926},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4218125343322754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26305437088012695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2541787028312683},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25320547819137573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19512680172920227},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wsc.2010.5679084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2010.5679084","pdf_url":null,"source":{"id":"https://openalex.org/S4363608948","display_name":"Proceedings of the 2010 Winter Simulation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 Winter Simulation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.416.646","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.416.646","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.informs-sim.org/wsc10papers/098.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309309","display_name":"Brigham Young University","ror":"https://ror.org/047rhhm47"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1529558080","https://openalex.org/W2044596392","https://openalex.org/W2052603576","https://openalex.org/W2088363515","https://openalex.org/W2098432798","https://openalex.org/W2123859855","https://openalex.org/W2129060502","https://openalex.org/W2132351269","https://openalex.org/W2141229042","https://openalex.org/W2171074980","https://openalex.org/W2400458653","https://openalex.org/W2487144912","https://openalex.org/W3041202696","https://openalex.org/W3140416634","https://openalex.org/W6631601832","https://openalex.org/W6634528131","https://openalex.org/W6674995601"],"related_works":["https://openalex.org/W4255265352","https://openalex.org/W4239477580","https://openalex.org/W4389475841","https://openalex.org/W2152670157","https://openalex.org/W4241327272","https://openalex.org/W2903299703","https://openalex.org/W4281791088","https://openalex.org/W2117282672","https://openalex.org/W4385342861","https://openalex.org/W1574958246"],"abstract_inverted_index":{"Dynamic":[0],"programming":[1],"formulations":[2],"may":[3,76],"be":[4,23],"used":[5,35],"to":[6,16,57,62,79,88],"solve":[7],"for":[8],"optimal":[9],"policies":[10,82],"in":[11,36],"Markov":[12],"decision":[13],"processes.":[14],"Due":[15],"computational":[17],"complexity":[18],"dynamic":[19],"programs":[20],"must":[21],"often":[22],"solved":[24],"approximately.":[25],"We":[26,67,95],"consider":[27],"the":[28,48,63],"case":[29],"of":[30,38],"a":[31,59],"tunable":[32],"approximation":[33,49],"architecture":[34,50],"lieu":[37],"computing":[39],"true":[40,64],"value":[41,65,92],"functions.":[42],"The":[43],"standard":[44],"methodology":[45],"advocates":[46],"tuning":[47],"via":[51],"sample":[52],"path":[53],"information":[54],"and":[55,83],"regression":[56],"get":[58],"good":[60],"fit":[61],"function.":[66],"provide":[68],"an":[69,100],"example":[70],"which":[71],"shows":[72],"that":[73],"this":[74,97],"approach":[75],"unnecessarily":[77],"lead":[78],"poorly":[80],"performing":[81,91],"suggest":[84],"direct":[85],"search":[86],"methods":[87],"find":[89],"better":[90],"function":[93],"approximations.":[94],"illustrate":[96],"concept":[98],"with":[99],"application":[101],"from":[102],"ambulance":[103],"redeployment.":[104]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
