{"id":"https://openalex.org/W7160864759","doi":"https://doi.org/10.48550/arxiv.2605.07537","title":"Multi-Environment POMDPs with Finite-Horizon Objectives","display_name":"Multi-Environment POMDPs with Finite-Horizon Objectives","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7160864759","doi":"https://doi.org/10.48550/arxiv.2605.07537"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.07537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07537","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.07537","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135867861","display_name":"L\u00e9onard Brice","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brice, L\u00e9onard","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092950121","display_name":"Filip Cano","orcid":"https://orcid.org/0000-0002-0783-904X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cano, Filip","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135908913","display_name":"Krishnendu Chatterjee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chatterjee, Krishnendu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135902462","display_name":"Thomas A. Henzinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Henzinger, Thomas A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116698591","display_name":"Stefanie Muroya","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muroya, Stefanie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.9140999913215637,"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":0.9140999913215637,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.024299999698996544,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.00570000009611249,"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":0.8598999977111816},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6664000153541565},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6000999808311462},{"id":"https://openalex.org/keywords/complete-information","display_name":"Complete information","score":0.5703999996185303},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5504999756813049},{"id":"https://openalex.org/keywords/observable","display_name":"Observable","score":0.5097000002861023},{"id":"https://openalex.org/keywords/value-of-information","display_name":"Value of information","score":0.49540001153945923}],"concepts":[{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.8598999977111816},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6664000153541565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6018000245094299},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6000999808311462},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.5703999996185303},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5504999756813049},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C92424840","wikidata":"https://www.wikidata.org/wiki/Q7912772","display_name":"Value of information","level":2,"score":0.49540001153945923},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.47699999809265137},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4505999982357025},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.3937000036239624},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.304500013589859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2937999963760376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2906000018119812}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.07537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07537","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.07537","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.07537","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6791505217552185}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Partially":[0],"Observable":[1],"Markov":[2],"Decision":[3],"Processes":[4],"(POMDPs)":[5],"are":[6,71],"systems":[7],"in":[8,54,66,82],"which":[9],"one":[10],"agent":[11],"interacts":[12],"with":[13,56],"a":[14,27,92],"stochastic":[15],"environment,":[16],"and":[17,36,52,95],"receives":[18],"only":[19,104],"partial":[20],"information":[21],"about":[22],"the":[23,31,49,83,103],"current":[24],"state.":[25],"In":[26,42],"multi-environment":[28],"POMDP":[29],"(MEPOMDP),":[30],"initial":[32],"state":[33],"is":[34,61,79],"unknown,":[35],"assumed":[37],"to":[38,63],"be":[39,64],"adversarially":[40],"chosen.":[41],"this":[43],"work":[44],"we":[45,75,90],"focus":[46],"on":[47,98],"computing":[48],"optimal":[50],"value":[51],"policy":[53],"MEPOMDPs":[55],"finite-horizon":[57],"objectives.":[58],"That":[59],"problem":[60],"known":[62,106],"PSPACE-complete":[65,81],"POMDPs.":[67],"Our":[68],"main":[69],"results":[70],"as":[72],"follows:":[73],"(1)":[74],"establish":[76],"that":[77],"it":[78,97],"also":[80],"more":[84],"general":[85],"setting":[86],"of":[87],"MEPOMDPs;":[88],"(2)":[89],"present":[91],"practical":[93],"algorithm":[94],"evaluate":[96],"classical":[99],"benchmarks,":[100],"significantly":[101],"outperforming":[102],"previously":[105],"algorithm.":[107]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-12T00:00:00"}