{"id":"https://openalex.org/W1978322215","doi":"https://doi.org/10.1109/tcyb.2014.2375817","title":"Energy Efficient Execution of POMDP Policies","display_name":"Energy Efficient Execution of POMDP Policies","publication_year":2015,"publication_date":"2015-01-06","ids":{"openalex":"https://openalex.org/W1978322215","doi":"https://doi.org/10.1109/tcyb.2014.2375817","mag":"1978322215","pmid":"https://pubmed.ncbi.nlm.nih.gov/25532202"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2014.2375817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2375817","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://kar.kent.ac.uk/48653/1/grzes15SMC.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052315074","display_name":"Marek Grze\u015b","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marek Grzes","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050467922","display_name":"Pascal Poupart","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Pascal Poupart","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012268182","display_name":"Xiao Yang","orcid":"https://orcid.org/0000-0002-0848-4332"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Yang","raw_affiliation_strings":["Amazon, Toronto, ON, Canada","[Amazon, Toronto, ON, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, Toronto, ON, Canada","institution_ids":[]},{"raw_affiliation_string":"[Amazon, Toronto, ON, Canada]","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071941660","display_name":"Jesse Hoey","orcid":"https://orcid.org/0000-0001-5340-2204"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jesse Hoey","raw_affiliation_strings":["David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"David R. Cheriton School of Computer Science, University of Waterloo Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4923,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.93366796,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"45","issue":"11","first_page":"2484","last_page":"2497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9994999766349792,"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":0.9994999766349792,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9843999743461609,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9842000007629395,"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/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.8282753229141235},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7962670922279358},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6026972532272339},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5727860331535339},{"id":"https://openalex.org/keywords/compiler","display_name":"Compiler","score":0.4107135832309723},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3877014219760895},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2498370110988617},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.19289857149124146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18074041604995728},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.1651957929134369}],"concepts":[{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.8282753229141235},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7962670922279358},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6026972532272339},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5727860331535339},{"id":"https://openalex.org/C169590947","wikidata":"https://www.wikidata.org/wiki/Q47506","display_name":"Compiler","level":2,"score":0.4107135832309723},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3877014219760895},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2498370110988617},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.19289857149124146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18074041604995728},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.1651957929134369},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000544","descriptor_name":"Alzheimer Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003661","descriptor_name":"Decision Support Techniques","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008390","descriptor_name":"Markov Chains","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017216","descriptor_name":"Telemedicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055816","descriptor_name":"Wandering Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055816","descriptor_name":"Wandering Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055816","descriptor_name":"Wandering Behavior","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D063731","descriptor_name":"Mobile Applications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2014.2375817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2014.2375817","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:25532202","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25532202","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:kar.kent.ac.uk:48653","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TCYB.2014.2375817>)","pdf_url":"https://kar.kent.ac.uk/48653/1/grzes15SMC.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"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":"Article"}],"best_oa_location":{"id":"pmh:oai:kar.kent.ac.uk:48653","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TCYB.2014.2375817>)","pdf_url":"https://kar.kent.ac.uk/48653/1/grzes15SMC.pdf","source":{"id":"https://openalex.org/S4377196264","display_name":"Kent Academic Repository (University of Kent)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20581793","host_organization_name":"University of Kent","host_organization_lineage":["https://openalex.org/I20581793"],"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":"Article"},"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2767345686","display_name":"Offering situational awareness from activity estimation and social networks","funder_award_id":"ETAC-10-173237","funder_id":"https://openalex.org/F4320306219","funder_display_name":"Alzheimer's Association"}],"funders":[{"id":"https://openalex.org/F4320306219","display_name":"Alzheimer's Association","ror":"https://ror.org/0375f4d26"},{"id":"https://openalex.org/F4320321074","display_name":"Toronto Rehabilitation Institute","ror":"https://ror.org/00mxe0976"},{"id":"https://openalex.org/F4320321886","display_name":"Ontario Ministry of Research, Innovation and Science","ror":"https://ror.org/03zr1tg88"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320336370","display_name":"Ontario Ministry of Research and Innovation","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1978322215.pdf","grobid_xml":"https://content.openalex.org/works/W1978322215.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W12258761","https://openalex.org/W77538448","https://openalex.org/W129361833","https://openalex.org/W176675923","https://openalex.org/W181022050","https://openalex.org/W182831726","https://openalex.org/W183139520","https://openalex.org/W192920577","https://openalex.org/W1532688806","https://openalex.org/W1542709260","https://openalex.org/W1568780897","https://openalex.org/W1576452626","https://openalex.org/W1605376211","https://openalex.org/W1701684472","https://openalex.org/W1801862825","https://openalex.org/W1991007656","https://openalex.org/W2026315107","https://openalex.org/W2044375425","https://openalex.org/W2055921164","https://openalex.org/W2057881048","https://openalex.org/W2075457858","https://openalex.org/W2080245272","https://openalex.org/W2087992130","https://openalex.org/W2099430963","https://openalex.org/W2103614073","https://openalex.org/W2107696078","https://openalex.org/W2109393574","https://openalex.org/W2114235770","https://openalex.org/W2121863487","https://openalex.org/W2142831953","https://openalex.org/W2144283793","https://openalex.org/W2144913588","https://openalex.org/W2158082107","https://openalex.org/W2158907787","https://openalex.org/W2168359464","https://openalex.org/W2169294731","https://openalex.org/W2171084228","https://openalex.org/W2177060007","https://openalex.org/W2210424441","https://openalex.org/W2963889160","https://openalex.org/W3101822862","https://openalex.org/W3146619483","https://openalex.org/W4205326910","https://openalex.org/W4214717370","https://openalex.org/W4255985591","https://openalex.org/W6600526285","https://openalex.org/W6603152148","https://openalex.org/W6607191873","https://openalex.org/W6607318870","https://openalex.org/W6607456006","https://openalex.org/W6607789263","https://openalex.org/W6631864160","https://openalex.org/W6632460022","https://openalex.org/W6634014975","https://openalex.org/W6636428669","https://openalex.org/W6636732284","https://openalex.org/W6637465547","https://openalex.org/W6674541415","https://openalex.org/W6676216739","https://openalex.org/W6677184444","https://openalex.org/W6681633084","https://openalex.org/W6683354572","https://openalex.org/W6684973485","https://openalex.org/W6685668645","https://openalex.org/W6688035489"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W52153049","https://openalex.org/W1760611253","https://openalex.org/W1515117609","https://openalex.org/W1589140671","https://openalex.org/W4323315247","https://openalex.org/W2294884454","https://openalex.org/W3169161914","https://openalex.org/W4321379664","https://openalex.org/W2211790881"],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,220],"planning":[3,72],"techniques":[4,17,25,73,90,185],"for":[5,31],"partially":[6],"observable":[7],"Markov":[8],"decision":[9,48,107],"processes":[10],"(POMDPs)":[11],"have":[12],"focused":[13],"on":[14,81,188,225],"online":[15],"search":[16],"and":[18,57,158,164,170,183],"offline":[19],"point-based":[20,126],"value":[21,172],"iteration.":[22],"While":[23],"these":[24],"allow":[26],"practitioners":[27],"to":[28,62,91,139,152,197,202],"obtain":[29],"policies":[30,93,113,142,210],"fairly":[32],"large":[33],"problems,":[34],"they":[35,75],"assume":[36],"that":[37,67,85,96,231],"a":[38,63,101,116,137,194],"nonnegligible":[39],"amount":[40],"of":[41,55,65,118,207],"computation":[42],"can":[43,76,97,173],"be":[44,98,175],"done":[45],"between":[46],"each":[47,106],"point.":[49,108],"In":[50],"contrast,":[51],"the":[52,133,226,235],"recent":[53],"proliferation":[54],"mobile":[56,195],"embedded":[58],"devices":[59],"has":[60],"lead":[61],"surge":[64],"applications":[66],"could":[68],"benefit":[69],"from":[70],"state-of-the-art":[71],"if":[74],"operate":[77],"under":[78],"severe":[79],"constraints":[80],"computational":[82],"resources.":[83],"To":[84],"effect,":[86],"we":[87],"describe":[88,149],"two":[89],"compile":[92,140],"into":[94,128,143],"controllers":[95,154,215,233],"executed":[99],"by":[100,115,125,155,177],"mere":[102],"table":[103],"lookup":[104],"at":[105],"The":[109,181,204],"first":[110],"approach":[111,135,151],"compiles":[112],"induced":[114],"set":[117],"alpha":[119],"vectors":[120],"(such":[121],"as":[122,191,193],"those":[123],"obtained":[124,176],"techniques)":[127],"approximately":[129,144],"equivalent":[130,145],"controllers,":[131],"while":[132],"second":[134],"performs":[136],"simulation":[138],"arbitrary":[141],"controllers.":[146,167,180],"We":[147],"also":[148],"an":[150],"compress":[153],"removing":[156],"redundant":[157],"dominated":[159],"nodes,":[160],"often":[161],"yielding":[162],"smaller":[163],"yet":[165],"better":[166],"Further":[168],"compression":[169,184],"higher":[171],"sometimes":[174],"considering":[178],"stochastic":[179],"compilation":[182],"are":[186,234],"demonstrated":[187],"benchmark":[189],"problems":[190],"well":[192],"application":[196],"help":[198],"persons":[199],"with":[200],"Alzheimer's":[201],"way-find.":[203],"battery":[205,237],"consumption":[206],"several":[208],"POMDP":[209,239],"is":[211],"compared":[212],"against":[213],"finite-state":[214,232],"learned":[216],"using":[217],"methods":[218],"introduced":[219],"this":[221],"paper.":[222],"Experiments":[223],"performed":[224],"Nexus":[227],"4":[228],"phone":[229],"show":[230],"least":[236],"consuming":[238],"policies.":[240]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
