{"id":"https://openalex.org/W3132826882","doi":"https://doi.org/10.1109/iros45743.2020.9341669","title":"Maximizing BCI Human Feedback using Active Learning","display_name":"Maximizing BCI Human Feedback using Active Learning","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3132826882","doi":"https://doi.org/10.1109/iros45743.2020.9341669","mag":"3132826882"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9341669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","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/A5061218022","display_name":"Zizhao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zizhao Wang","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101211964","display_name":"Junyao Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junyao Shi","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056689854","display_name":"Iretiayo Akinola","orcid":"https://orcid.org/0000-0001-8398-8138"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Iretiayo Akinola","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111499014","display_name":"Peter Allen","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Allen","raw_affiliation_strings":["Department of Computer Science, Columbia University, New York"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, New York","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":1.097,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76337115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"10945","last_page":"10951"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9555000066757202,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.8207597732543945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.740352988243103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39259082078933716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3852151930332184},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.2432461678981781},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.10046088695526123},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08411538600921631}],"concepts":[{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8207597732543945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.740352988243103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39259082078933716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3852151930332184},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.2432461678981781},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.10046088695526123},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08411538600921631}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros45743.2020.9341669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1754243990","https://openalex.org/W1878852850","https://openalex.org/W2034172541","https://openalex.org/W2098441518","https://openalex.org/W2109065101","https://openalex.org/W2116157560","https://openalex.org/W2116938621","https://openalex.org/W2118378735","https://openalex.org/W2156869222","https://openalex.org/W2158582431","https://openalex.org/W2294422333","https://openalex.org/W2419349576","https://openalex.org/W2559463885","https://openalex.org/W2565110810","https://openalex.org/W2610189169","https://openalex.org/W2726933900","https://openalex.org/W2736601468","https://openalex.org/W2804380964","https://openalex.org/W2806471870","https://openalex.org/W2884565639","https://openalex.org/W2889983762","https://openalex.org/W2903158431","https://openalex.org/W2953127211","https://openalex.org/W2963489214","https://openalex.org/W2964062135","https://openalex.org/W2964263543","https://openalex.org/W3089642969","https://openalex.org/W3102455230","https://openalex.org/W4321392130","https://openalex.org/W6637731308","https://openalex.org/W6639674896","https://openalex.org/W6674812091","https://openalex.org/W6677262939","https://openalex.org/W6677331607","https://openalex.org/W6677838749","https://openalex.org/W6696972564","https://openalex.org/W6717094648","https://openalex.org/W6739585900","https://openalex.org/W6740302412","https://openalex.org/W6741002519","https://openalex.org/W6751540476","https://openalex.org/W6752745768","https://openalex.org/W6753516098","https://openalex.org/W6756615331","https://openalex.org/W6769266437"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,213],"Learning":[3],"from":[4,17],"Human":[5],"Feedback":[6],"present":[7,37,112],"an":[8,113],"effective":[9],"way":[10],"to":[11,35,43,91,119,142,155,158,175,188,209,223,236],"train":[12],"robot":[13,41,82,133,168,201,207],"agents":[14],"via":[15],"inputs":[16],"non-expert":[18],"humans,":[19],"without":[20,215],"a":[21,24,33,89,144,150,200,211],"need":[22,90],"for":[23,123],"specially":[25],"designed":[26],"reward":[27],"function.":[28],"However,":[29],"this":[30,109,225],"approach":[31,114,220],"needs":[32],"human":[34,65,104,125,185,230],"be":[36],"and":[38,61,78,99,134,161,232],"attentive":[39],"during":[40],"learning":[42,80,118,169],"provide":[44],"evaluative":[45],"feedback.":[46],"In":[47,108],"addition,":[48],"the":[49,56,62,93,101,124,129,132,137,167,193,206],"amount":[50,102,138],"of":[51,58,64,72,95,103,131,139,184,195],"feedback":[52,66,97,140,159,186,231],"needed":[53,141],"grows":[54],"with":[55,84,178,217,228],"level":[57],"task":[59,204,226],"difficulty":[60],"quality":[63,94],"might":[67],"decrease":[68],"over":[69],"time":[70],"because":[71],"fatigue.":[73],"To":[74],"overcome":[75],"these":[76],"limitations":[77],"enable":[79],"more":[81,179],"tasks":[83,177],"higher":[85],"complexities,":[86],"there":[87],"is":[88,221],"maximize":[92],"expensive":[96],"received":[98],"reduce":[100],"cognitive":[105,233],"involvement":[106],"required.":[107],"work,":[110],"we":[111],"that":[115,239],"uses":[116],"active":[117,243],"smartly":[120],"choose":[121],"queries":[122],"supervisor":[126],"based":[127],"on":[128,199],"uncertainty":[130],"effectively":[135],"reduces":[136],"learn":[143,176,224],"given":[145],"task.":[146],"We":[147,191],"also":[148],"use":[149,242],"novel":[151],"multiple":[152],"buffer":[153],"system":[154],"improve":[156],"robustness":[157],"noise":[160],"guard":[162],"against":[163],"catastrophic":[164],"forgetting":[165],"as":[166],"evolves.":[170],"This":[171],"makes":[172],"it":[173],"possible":[174],"complexity":[180],"using":[181],"lesser":[182],"amounts":[183],"compared":[187,235],"previous":[189,237],"methods.":[190],"demonstrate":[192],"utility":[194],"our":[196],"proposed":[197],"method":[198],"arm":[202],"reaching":[203],"where":[205],"learns":[208],"reach":[210],"location":[212],"3D":[214],"colliding":[216],"obstacles.":[218],"Our":[219],"able":[222],"faster,":[227],"less":[229],"involvement,":[234],"methods":[238],"do":[240],"not":[241],"learning.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}