{"id":"https://openalex.org/W2523709838","doi":"https://doi.org/10.1109/icra.2017.7989758","title":"No-regret replanning under uncertainty","display_name":"No-regret replanning under uncertainty","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2523709838","doi":"https://doi.org/10.1109/icra.2017.7989758","mag":"2523709838"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2017.7989758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5101618125","display_name":"W. Sun","orcid":"https://orcid.org/0000-0003-4322-5878"},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["IN","US"],"is_corresponding":false,"raw_author_name":"Wen Sun","raw_affiliation_strings":["Microsoft Research, Carnegie Mellon University, Redmond"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Carnegie Mellon University, Redmond","institution_ids":["https://openalex.org/I4210124949","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072758868","display_name":"Niteesh Sood","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Niteesh Sood","raw_affiliation_strings":["Microsoft Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103717145","display_name":"Debadeepta Dey","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Debadeepta Dey","raw_affiliation_strings":["Microsoft Research, Redmond"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055069190","display_name":"Gireeja Ranade","orcid":"https://orcid.org/0000-0002-6747-4492"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Gireeja Ranade","raw_affiliation_strings":["Microsoft Research, Redmond"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101016823","display_name":"Siddharth Prakash","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124949","display_name":"Microsoft Research (India)","ror":"https://ror.org/02w7f3w92","country_code":"IN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210124949"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Siddharth Prakash","raw_affiliation_strings":["Microsoft Research, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, India","institution_ids":["https://openalex.org/I4210124949"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101933711","display_name":"Ashish Kapoor","orcid":"https://orcid.org/0009-0004-3764-8449"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ashish Kapoor","raw_affiliation_strings":["Microsoft Research, Redmond"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6420","last_page":"6427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9998999834060669,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9980999827384949,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9958000183105469,"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/regret","display_name":"Regret","score":0.9247201681137085},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7114457488059998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65098637342453},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.587246298789978},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.5020997524261475},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.49840545654296875},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4975869953632355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4806041419506073},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.47009798884391785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4141013026237488},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4052751958370209},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3650732934474945},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18487170338630676},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12233990430831909},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.0684782862663269}],"concepts":[{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.9247201681137085},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7114457488059998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65098637342453},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.587246298789978},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.5020997524261475},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49840545654296875},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4975869953632355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4806041419506073},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.47009798884391785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4141013026237488},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4052751958370209},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3650732934474945},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18487170338630676},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12233990430831909},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0684782862663269},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2017.7989758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2017.7989758","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Robotics and Automation (ICRA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W135762054","https://openalex.org/W926607442","https://openalex.org/W1176413013","https://openalex.org/W1495977361","https://openalex.org/W1529817735","https://openalex.org/W1531355326","https://openalex.org/W1532688806","https://openalex.org/W1851714595","https://openalex.org/W2024382047","https://openalex.org/W2032100464","https://openalex.org/W2053833381","https://openalex.org/W2077902449","https://openalex.org/W2099430963","https://openalex.org/W2120756870","https://openalex.org/W2134802714","https://openalex.org/W2161966552","https://openalex.org/W2164429173","https://openalex.org/W2168405694","https://openalex.org/W2171084228","https://openalex.org/W2295454748","https://openalex.org/W2406067508","https://openalex.org/W2950441692","https://openalex.org/W2950929549","https://openalex.org/W2951665052","https://openalex.org/W2955395171","https://openalex.org/W3124229194","https://openalex.org/W4236369721","https://openalex.org/W4285719527","https://openalex.org/W6605525015","https://openalex.org/W6624674359","https://openalex.org/W6631685650","https://openalex.org/W6631864160","https://openalex.org/W6679977494","https://openalex.org/W6683603353","https://openalex.org/W6684973485","https://openalex.org/W6697260988","https://openalex.org/W6764988152"],"related_works":["https://openalex.org/W2799139340","https://openalex.org/W2000120653","https://openalex.org/W1998133575","https://openalex.org/W2176548496","https://openalex.org/W2119172555","https://openalex.org/W1982387418","https://openalex.org/W1962141875","https://openalex.org/W1570961203","https://openalex.org/W2963753323","https://openalex.org/W2739036405"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,27,45,50,68,83,95,118,121,124,132],"problem":[4],"of":[5,58,120,126],"path":[6,37,98,129],"planning":[7,38,63,99,130],"under":[8],"uncertainty.":[9],"Specifically,":[10],"we":[11],"consider":[12],"online":[13,96],"receding":[14],"horizon":[15],"based":[16],"planners":[17],"that":[18,79],"need":[19],"to":[20,48,52,94],"operate":[21],"in":[22,39,82,108],"a":[23,54],"latent":[24,28,40,59],"environment":[25,51],"where":[26],"information":[29,60],"can":[30,91],"be":[31,92],"modelled":[32],"via":[33],"Gaussian":[34],"Processes.":[35],"Online":[36],"environments":[41],"is":[42],"challenging":[43],"since":[44],"robot":[46],"needs":[47],"explore":[49],"get":[53],"more":[55],"accurate":[56],"model":[57],"for":[61],"better":[62],"later":[64],"and":[65,86,106,111],"also":[66],"achieves":[67],"task":[69],"as":[70,72],"quick":[71],"possible.":[73],"We":[74,116],"propose":[75],"UCB":[76],"style":[77],"algorithms":[78],"are":[80,134],"popular":[81],"bandit":[84],"settings":[85],"show":[87],"how":[88],"those":[89],"analyses":[90],"adapted":[93],"robotic":[97],"problems.":[100],"The":[101],"proposed":[102],"algorithm":[103],"trades-off":[104],"exploration":[105],"exploitation":[107],"near-optimal":[109],"manner":[110],"has":[112],"appealing":[113],"no-regret":[114],"properties.":[115],"demonstrate":[117],"efficacy":[119],"framework":[122],"on":[123],"application":[125],"aircraft":[127],"flight":[128],"when":[131],"winds":[133],"partially":[135],"observed.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}