{"id":"https://openalex.org/W7115567965","doi":"https://doi.org/10.48550/arxiv.2512.11082","title":"Memoryless Policy Iteration for Episodic POMDPs","display_name":"Memoryless Policy Iteration for Episodic POMDPs","publication_year":2025,"publication_date":"2025-12-11","ids":{"openalex":"https://openalex.org/W7115567965","doi":"https://doi.org/10.48550/arxiv.2512.11082"},"language":"en","primary_location":{"id":"pmh:oai:pure.tue.nl:openaire/285c7ec1-700f-464c-baaf-4661b8066da4","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/285c7ec1-700f-464c-baaf-4661b8066da4","pdf_url":"https://research.tue.nl/files/373986379/2512.11082v1.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Zuijlen, R A C & Guerreiro Tom\u00e9 Antunes, D J 2025 'Memoryless Policy Iteration for Episodic POMDPs' arXiv.org. https://doi.org/10.48550/arXiv.2512.11082","raw_type":"info:eu-repo/semantics/preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/files/373986379/2512.11082v1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"van Zuijlen, Roy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"van Zuijlen, Roy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Antunes, Duarte","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Antunes, Duarte","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.7785999774932861,"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":0.7785999774932861,"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":0.033399999141693115,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.02979999966919422,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7365000247955322},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5849000215530396},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.5670999884605408},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5385000109672546},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4950000047683716},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4936000108718872},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4302000105381012},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.42989999055862427}],"concepts":[{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.7365000247955322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413000226020813},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5849000215530396},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.5670999884605408},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5263000130653381},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4302000105381012},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42989999055862427},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.4059000015258789},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34279999136924744},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C2984634286","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision process","level":2,"score":0.31709998846054077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3158000111579895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3125999867916107},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.301800012588501},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.266400009393692},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pure.tue.nl:openaire/285c7ec1-700f-464c-baaf-4661b8066da4","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/285c7ec1-700f-464c-baaf-4661b8066da4","pdf_url":"https://research.tue.nl/files/373986379/2512.11082v1.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Zuijlen, R A C & Guerreiro Tom\u00e9 Antunes, D J 2025 'Memoryless Policy Iteration for Episodic POMDPs' arXiv.org. https://doi.org/10.48550/arXiv.2512.11082","raw_type":"info:eu-repo/semantics/preprint"},{"id":"doi:10.48550/arxiv.2512.11082","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2512.11082","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/285c7ec1-700f-464c-baaf-4661b8066da4","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/285c7ec1-700f-464c-baaf-4661b8066da4","pdf_url":"https://research.tue.nl/files/373986379/2512.11082v1.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"van Zuijlen, R A C & Guerreiro Tom\u00e9 Antunes, D J 2025 'Memoryless Policy Iteration for Episodic POMDPs' arXiv.org. https://doi.org/10.48550/arXiv.2512.11082","raw_type":"info:eu-repo/semantics/preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7617222666740417,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7250523542","display_name":null,"funder_award_id":"01IS21022G","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"},{"id":"https://openalex.org/F4320330631","display_name":"Nederlandse Organisatie voor Toegepast Natuurwetenschappelijk Onderzoek","ror":"https://ror.org/01bnjb948"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7115567965.pdf","grobid_xml":"https://content.openalex.org/works/W7115567965.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Memoryless":[0],"and":[1,72,95,119,137,144],"finite-memory":[2],"policies":[3,122],"offer":[4],"a":[5,57,77,91,111],"practical":[6],"alternative":[7],"for":[8],"solving":[9],"partially":[10],"observable":[11],"Markov":[12],"decision":[13],"processes":[14],"(POMDPs),":[15],"as":[16,36],"they":[17],"operate":[18],"directly":[19],"in":[20,26,141],"the":[21,27,44,98],"output":[22,45],"space":[23],"rather":[24],"than":[25],"high-dimensional":[28],"belief":[29],"space.":[30],"However,":[31],"extending":[32],"classical":[33],"methods":[34],"such":[35],"policy":[37,70,73],"iteration":[38],"to":[39,76],"this":[40,84,106],"setting":[41],"remains":[42],"difficult;":[43],"process":[46],"is":[47],"non-Markovian,":[48],"making":[49],"policy-improvement":[50],"steps":[51],"interdependent":[52],"across":[53],"stages.":[54],"We":[55,81],"introduce":[56],"new":[58],"family":[59,85],"of":[60],"monotonically":[61],"improving":[62],"policy-iteration":[63],"algorithms":[64,140],"that":[65,83,89,114],"alternate":[66],"between":[67],"single-stage":[68],"output-based":[69],"improvements":[71],"evaluations":[74],"according":[75],"prescribed":[78],"periodic":[79],"pattern.":[80],"show":[82],"admits":[86],"optimal":[87],"patterns":[88],"maximize":[90],"natural":[92],"computational-efficiency":[93],"index,":[94],"we":[96,108],"identify":[97],"simplest":[99],"pattern":[100],"with":[101],"minimal":[102],"period.":[103],"Building":[104],"on":[105],"structure,":[107],"further":[109],"develop":[110],"model-free":[112,145],"variant":[113],"estimates":[115],"values":[116],"from":[117],"data":[118],"learns":[120],"memoryless":[121],"directly.":[123],"Across":[124],"several":[125],"POMDPs":[126],"examples,":[127],"our":[128],"method":[129],"achieves":[130],"significant":[131],"computational":[132],"speedups":[133],"over":[134],"policy-gradient":[135],"baselines":[136],"recent":[138],"specialized":[139],"both":[142],"model-based":[143],"settings.":[146]},"counts_by_year":[],"updated_date":"2026-06-12T08:23:45.883708","created_date":"2025-12-16T00:00:00"}
