{"id":"https://openalex.org/W2962744691","doi":"https://doi.org/10.1109/cvpr.2019.00689","title":"The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation","display_name":"The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2962744691","doi":"https://doi.org/10.1109/cvpr.2019.00689","mag":"2962744691"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2019.00689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"},"type":"article","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/A5057482975","display_name":"Chih\u2010Yao Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chih-Yao Ma","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026167547","display_name":"Zuxuan Wu","orcid":"https://orcid.org/0000-0002-8689-5807"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zuxuan Wu","raw_affiliation_strings":["UMD","University of Maryland, College Park"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UMD","institution_ids":[]},{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006145139","display_name":"Ghassan AlRegib","orcid":"https://orcid.org/0000-0001-6818-8001"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ghassan AlRegib","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032046813","display_name":"Caiming Xiong","orcid":"https://orcid.org/0000-0003-0349-8628"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiming Xiong","raw_affiliation_strings":["Salesforce Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce Research","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088892134","display_name":"Zsolt Kira","orcid":"https://orcid.org/0000-0002-2626-2004"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zsolt Kira","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057482975"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":12.8593,"has_fulltext":false,"cited_by_count":173,"citation_normalized_percentile":{"value":0.98941165,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"6725","last_page":"6733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":1.0,"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"}},{"id":"https://openalex.org/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504115104675293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6243266463279724},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5836613178253174},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48434698581695557},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.46315211057662964},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.46290645003318787},{"id":"https://openalex.org/keywords/backtracking","display_name":"Backtracking","score":0.449944406747818},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.44563084840774536},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4234023690223694},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4224613606929779},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39989152550697327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504115104675293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6243266463279724},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5836613178253174},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48434698581695557},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.46315211057662964},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.46290645003318787},{"id":"https://openalex.org/C156884757","wikidata":"https://www.wikidata.org/wiki/Q798554","display_name":"Backtracking","level":2,"score":0.449944406747818},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.44563084840774536},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4234023690223694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4224613606929779},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39989152550697327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvpr.2019.00689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2019.00689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W115173043","https://openalex.org/W1949377792","https://openalex.org/W1978301848","https://openalex.org/W2020149918","https://openalex.org/W2122410182","https://openalex.org/W2567015638","https://openalex.org/W2623293810","https://openalex.org/W2772390515","https://openalex.org/W2774005037","https://openalex.org/W2774661387","https://openalex.org/W2776202271","https://openalex.org/W2783375473","https://openalex.org/W2794752562","https://openalex.org/W2803325309","https://openalex.org/W2805984364","https://openalex.org/W2835434549","https://openalex.org/W2884565639","https://openalex.org/W2909303996","https://openalex.org/W2950697717","https://openalex.org/W2953127211","https://openalex.org/W2963636045","https://openalex.org/W2963726321","https://openalex.org/W2963800628","https://openalex.org/W2963846044","https://openalex.org/W2964164804","https://openalex.org/W2964339842","https://openalex.org/W2964935470","https://openalex.org/W2967853831","https://openalex.org/W4289364796","https://openalex.org/W4293566037","https://openalex.org/W4293658271","https://openalex.org/W4297728751","https://openalex.org/W4297795161","https://openalex.org/W6604708085","https://openalex.org/W6640777507","https://openalex.org/W6678087030","https://openalex.org/W6731334075","https://openalex.org/W6740990346","https://openalex.org/W6746197298","https://openalex.org/W6746408764","https://openalex.org/W6746518932","https://openalex.org/W6747106673","https://openalex.org/W6747912417","https://openalex.org/W6749880626","https://openalex.org/W6751569509","https://openalex.org/W6751636539","https://openalex.org/W6751885507","https://openalex.org/W6753516098","https://openalex.org/W6756121852","https://openalex.org/W6756557100","https://openalex.org/W6757724268"],"related_works":["https://openalex.org/W145376279","https://openalex.org/W2761816627","https://openalex.org/W4239618018","https://openalex.org/W1581598469","https://openalex.org/W4229726131","https://openalex.org/W2166791242","https://openalex.org/W2323122434","https://openalex.org/W3038859464","https://openalex.org/W2007682987","https://openalex.org/W1068348394"],"abstract_inverted_index":{"As":[0],"deep":[1],"learning":[2],"continues":[3],"to":[4,31,101,130,136,143,153,160],"make":[5],"progress":[6,104,172],"for":[7,58,77,114],"challenging":[8],"perception":[9],"tasks,":[10],"there":[11],"is":[12,75],"increased":[13],"interest":[14],"in":[15,53,107,197],"combining":[16],"vision,":[17],"language,":[18],"and":[19,24,38,74,149,169,200],"decision-making.":[20],"Specifically,":[21],"the":[22,45,87,91,155,177,194,209],"Vision":[23],"Language":[25],"Navigation":[26],"(VLN)":[27],"task":[28,60],"involves":[29],"navigating":[30],"a":[32,69,96,103,111,144],"goal":[33],"purely":[34],"from":[35],"language":[36],"instructions":[37],"visual":[39],"information":[40],"without":[41],"explicit":[42],"knowledge":[43],"of":[44,72,89],"goal.":[46],"Recent":[47],"successful":[48],"approaches":[49],"have":[50],"made":[51],"in-roads":[52],"achieving":[54],"good":[55],"success":[56,198,205],"rates":[57,206],"this":[59,83],"but":[61],"rely":[62],"on":[63,95,193,204],"beam":[64],"search,":[65],"which":[66,133,158],"thoroughly":[67],"explores":[68],"large":[70],"number":[71],"trajectories":[73],"unrealistic":[76],"applications":[78],"such":[79],"as":[80,93,110],"robotics.":[81],"In":[82],"paper,":[84],"inspired":[85],"by":[86,163,208],"intuition":[88],"viewing":[90],"problem":[92],"search":[94],"navigation":[97],"graph,":[98],"we":[99],"propose":[100,118],"use":[102],"monitor":[105],"developed":[106],"prior":[108],"work":[109],"learnable":[112],"heuristic":[113],"search.":[115],"We":[116],"then":[117],"two":[119],"modules":[120],"incorporated":[121],"into":[122],"an":[123],"end-to-end":[124],"architecture:":[125],"1)":[126],"A":[127,151],"learned":[128],"mechanism":[129,152],"perform":[131],"backtracking,":[132],"decides":[134],"whether":[135],"continue":[137],"moving":[138],"forward":[139],"or":[140],"roll":[141],"back":[142],"previous":[145],"state":[146],"(Regret":[147],"Module)":[148],"2)":[150],"help":[154],"agent":[156],"decide":[157],"direction":[159],"go":[161],"next":[162],"showing":[164],"directions":[165],"that":[166],"are":[167],"visited":[168],"their":[170],"associated":[171],"estimate":[173],"(Progress":[174],"Marker).":[175],"Combined,":[176],"proposed":[178],"approach":[179],"significantly":[180],"outperforms":[181],"current":[182],"state-of-the-art":[183],"methods":[184],"using":[185],"greedy":[186],"action":[187],"selection,":[188],"with":[189],"5%":[190],"absolute":[191],"improvement":[192],"test":[195],"server":[196],"rates,":[199],"more":[201],"importantly":[202],"8%":[203],"normalized":[207],"path":[210],"length.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":42},{"year":2020,"cited_by_count":39},{"year":2019,"cited_by_count":17}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
