{"id":"https://openalex.org/W4383108537","doi":"https://doi.org/10.1109/icra48891.2023.10160678","title":"Probabilistic Planning with Partially Ordered Preferences over Temporal Goals","display_name":"Probabilistic Planning with Partially Ordered Preferences over Temporal Goals","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4383108537","doi":"https://doi.org/10.1109/icra48891.2023.10160678"},"language":"en","primary_location":{"id":"doi:10.1109/icra48891.2023.10160678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009459595","display_name":"Hazhar Rahmani","orcid":"https://orcid.org/0000-0002-6342-2273"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hazhar Rahmani","raw_affiliation_strings":["University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037848668","display_name":"Abhishek N. Kulkarni","orcid":"https://orcid.org/0000-0002-1083-8507"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhishek N. Kulkarni","raw_affiliation_strings":["University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100666922","display_name":"Jie Fu","orcid":"https://orcid.org/0000-0001-5622-4888"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jie Fu","raw_affiliation_strings":["University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Electrical and Computer Engineering,Gainesville,FL,USA,32605","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":null,"apc_paid":null,"fwci":0.9444,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67999253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"5702","last_page":"5708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10142","display_name":"Formal Methods in Verification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.996399998664856,"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":0.9904000163078308,"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/preference","display_name":"Preference","score":0.6834198832511902},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6696931719779968},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6562317609786987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6350425481796265},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6013135313987732},{"id":"https://openalex.org/keywords/preference-relation","display_name":"Preference relation","score":0.5289121866226196},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4698057770729065},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.44224998354911804},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3782828152179718},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.274021714925766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21331238746643066}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6834198832511902},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6696931719779968},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6562317609786987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6350425481796265},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6013135313987732},{"id":"https://openalex.org/C2777062324","wikidata":"https://www.wikidata.org/wiki/Q25036211","display_name":"Preference relation","level":3,"score":0.5289121866226196},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4698057770729065},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.44224998354911804},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3782828152179718},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.274021714925766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21331238746643066},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra48891.2023.10160678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra48891.2023.10160678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5586895722","display_name":"Collaborative Research: NRI: INT: Transparent and Intuitive Teleoperation Interfaces for the Future Nursing Robots and Workers","funder_award_id":"2024802","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491322982","https://openalex.org/W1562368000","https://openalex.org/W1857953989","https://openalex.org/W1979930662","https://openalex.org/W2081287319","https://openalex.org/W2102660061","https://openalex.org/W2143280922","https://openalex.org/W2155327357","https://openalex.org/W2569030807","https://openalex.org/W3089165047","https://openalex.org/W3131212311","https://openalex.org/W3141989474","https://openalex.org/W3185407888","https://openalex.org/W3186243269","https://openalex.org/W4206742989","https://openalex.org/W4253103663","https://openalex.org/W4298212684","https://openalex.org/W6783452583"],"related_works":["https://openalex.org/W4205262062","https://openalex.org/W2408137423","https://openalex.org/W2022533988","https://openalex.org/W2096290915","https://openalex.org/W2790208073","https://openalex.org/W2016410556","https://openalex.org/W1595663582","https://openalex.org/W3122913338","https://openalex.org/W2387196575","https://openalex.org/W4232816123"],"abstract_inverted_index":{"In":[0,48,117],"this":[1,49,118],"paper,":[2,172],"we":[3,51,99,173],"study":[4],"planning":[5,25,112,139],"in":[6,113,134,162],"stochastic":[7],"systems,":[8],"modeled":[9],"as":[10,81],"Markov":[11],"decision":[12],"processes":[13],"(MDPs),":[14],"with":[15,26,45,197],"preferences":[16,27,32,57,89],"over":[17,58,90,108,130],"temporally":[18,91],"extended":[19,92],"goals.":[20,93],"Prior":[21],"work":[22],"on":[23,95,142],"temporal":[24],"assumes":[28],"that":[29,38,151],"the":[30,53,56,87,96,101,131,135,143,157,163,171,180,189,195],"user":[31],"form":[33],"a":[34,62,67,73,82,105,114,120,125,146,152,175],"total":[35,68],"order,":[36],"meaning":[37],"every":[39],"pair":[40],"of":[41,75,145,191],"outcomes":[42,60],"are":[43,61],"comparable":[44],"each":[46],"other.":[47],"work,":[50],"consider":[52],"case":[54],"where":[55],"possible":[59,203],"partial":[63],"order":[64,97],"rather":[65],"than":[66],"order.":[69],"We":[70,149,187],"first":[71],"introduce":[72],"variant":[74],"deterministic":[76],"finite":[77,132],"automaton,":[78],"referred":[79],"to":[80,104,178],"preference":[83,102,106,158,182],"DFA,":[84],"for":[85,110],"specifying":[86],"user's":[88],"Based":[94],"theory,":[98],"translate":[100],"DFA":[103],"relation":[107],"policies":[109],"probabilistic":[111],"labeled":[115],"MDP.":[116,136,148],"treatment,":[119],"most":[121],"preferred":[122],"policy":[123,155],"induces":[124],"weak-stochastic":[126,153],"nondominated":[127,154],"probability":[128],"distribution":[129],"paths":[133],"The":[137],"proposed":[138,181],"algorithm":[140,193],"hinges":[141],"construction":[144],"multi-objective":[147,165],"prove":[150],"given":[156],"specification":[159,183],"is":[160],"Pareto-optimal":[161],"constructed":[164],"MDP,":[166],"and":[167,184,200],"vice":[168],"versa.":[169],"Throughout":[170],"employ":[174],"running":[176],"example":[177,196],"demonstrate":[179],"solution":[185],"approaches.":[186],"show":[188],"efficacy":[190],"our":[192],"using":[194],"detailed":[198],"analysis,":[199],"then":[201],"discuss":[202],"future":[204],"directions.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}