{"id":"https://openalex.org/W4295855141","doi":"https://doi.org/10.23919/acc53348.2022.9867569","title":"JEM: Joint Entropy Minimization for Active State Estimation with Linear POMDP Costs","display_name":"JEM: Joint Entropy Minimization for Active State Estimation with Linear POMDP Costs","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4295855141","doi":"https://doi.org/10.23919/acc53348.2022.9867569"},"language":"en","primary_location":{"id":"doi:10.23919/acc53348.2022.9867569","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"2022 American Control Conference (ACC)","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/A5078645226","display_name":"Timothy L. Molloy","orcid":"https://orcid.org/0000-0002-6797-5617"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Timothy L. Molloy","raw_affiliation_strings":["University of Melbourne,Department of Electrical and Electronic Engineering,Parkville,VIC,Australia,3010"],"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Electrical and Electronic Engineering,Parkville,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021984276","display_name":"Girish N. Nair","orcid":"https://orcid.org/0000-0002-4342-209X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Girish N. Nair","raw_affiliation_strings":["University of Melbourne,Department of Electrical and Electronic Engineering,Parkville,VIC,Australia,3010"],"affiliations":[{"raw_affiliation_string":"University of Melbourne,Department of Electrical and Electronic Engineering,Parkville,VIC,Australia,3010","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078645226"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":0.3542,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42802612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"1601","last_page":"1607"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10791","display_name":"Advanced Control Systems Optimization","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11236","display_name":"Control Systems and Identification","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.9486137628555298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559726595878601},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6058381795883179},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5700773000717163},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5248743891716003},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.48292824625968933},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.45464643836021423},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32154759764671326},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.31374824047088623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2819852828979492},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.2351132035255432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22251495718955994},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08268752694129944}],"concepts":[{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.9486137628555298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559726595878601},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6058381795883179},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5700773000717163},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5248743891716003},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.48292824625968933},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.45464643836021423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32154759764671326},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.31374824047088623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2819852828979492},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.2351132035255432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22251495718955994},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08268752694129944},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/acc53348.2022.9867569","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc53348.2022.9867569","pdf_url":null,"source":{"id":"https://openalex.org/S4363607732","display_name":"2022 American Control Conference (ACC)","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":"2022 American Control Conference (ACC)","raw_type":"proceedings-article"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/733764934","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85121841786&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1684737195","https://openalex.org/W1984961415","https://openalex.org/W2014018052","https://openalex.org/W2045030310","https://openalex.org/W2075872878","https://openalex.org/W2099294566","https://openalex.org/W2099430963","https://openalex.org/W2099495504","https://openalex.org/W2101484286","https://openalex.org/W2119940423","https://openalex.org/W2124871025","https://openalex.org/W2143964548","https://openalex.org/W2161123599","https://openalex.org/W2166577160","https://openalex.org/W2336416123","https://openalex.org/W2478708596","https://openalex.org/W2586428935","https://openalex.org/W2759290895","https://openalex.org/W2769617651","https://openalex.org/W2783827747","https://openalex.org/W2919161064","https://openalex.org/W2923040451","https://openalex.org/W2960141888","https://openalex.org/W2963772667","https://openalex.org/W2964163353","https://openalex.org/W2967001064","https://openalex.org/W2974424662","https://openalex.org/W2981879078","https://openalex.org/W3150105804","https://openalex.org/W4239466562","https://openalex.org/W4285445987","https://openalex.org/W6674818212","https://openalex.org/W6744662928"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W52153049","https://openalex.org/W1760611253","https://openalex.org/W1589140671","https://openalex.org/W1515117609","https://openalex.org/W4323315247","https://openalex.org/W2294884454","https://openalex.org/W3169161914","https://openalex.org/W4321379664","https://openalex.org/W2211790881"],"abstract_inverted_index":{"Active":[0],"state":[1,39,103,171,182],"estimation":[2,183],"is":[3,33,139],"the":[4,17,42,57,83,87,107,132,137,147,166],"problem":[5],"of":[6,29,45,86,93,136,140,149,168],"controlling":[7],"a":[8,34,96],"partially":[9],"observed":[10],"Markov":[11],"decision":[12],"process":[13],"(POMDP)":[14],"to":[15,31,50,67],"minimize":[16],"uncertainty":[18,30,47,99],"associated":[19],"with":[20,41,125],"its":[21],"latent":[22],"states.":[23],"Selecting":[24],"meaningful,":[25],"yet":[26],"tractable,":[27],"measures":[28,48],"optimize":[32,68],"key":[35],"challenge":[36],"in":[37,56,78,110,131,161,170],"active":[38,102,181],"estimation,":[40],"vast":[43],"majority":[44],"popular":[46],"leading":[49],"POMDP":[51,72,156],"costs":[52,138],"that":[53,115,128],"are":[54,129],"nonlinear":[55],"belief":[58,133],"state,":[59,88],"which":[60],"makes":[61],"them":[62],"difficult":[63],"(and":[64],"often":[65],"impossible)":[66],"directly":[69,153],"using":[70,154],"standard":[71,123,155],"solvers.":[73,157],"To":[74],"address":[75],"this":[76,79],"challenge,":[77],"paper":[80],"we":[81,113],"propose":[82],"joint":[84,108],"entropy":[85,109],"observation,":[89],"and":[90],"control":[91],"trajectories":[92],"POMDPs":[94,124],"as":[95,122],"novel":[97],"tractable":[98],"measure":[100],"for":[101],"estimation.":[104],"By":[105],"expressing":[106],"stage-additive":[111],"form,":[112],"show":[114],"joint-entropy-minimization":[116],"(JEM)":[117],"problems":[118,152],"can":[119],"be":[120],"reformulated":[121],"cost":[126],"functions":[127],"linear":[130],"state.":[134],"Linearity":[135],"considerable":[141],"practical":[142],"significance":[143],"since":[144],"it":[145,164],"enables":[146],"solution":[148],"our":[150],"JEM":[151,160],"We":[158],"illustrate":[159],"simulations":[162],"where":[163],"reduces":[165],"probability":[167],"error":[169],"trajectory":[172],"estimates":[173],"whilst":[174],"being":[175],"more":[176],"computationally":[177],"efficient":[178],"than":[179],"competing":[180],"formulations.":[184]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}