{"id":"https://openalex.org/W2105401337","doi":"https://doi.org/10.1109/robot.2008.4543716","title":"Sparse incremental learning for interactive robot control policy estimation","display_name":"Sparse incremental learning for interactive robot control policy estimation","publication_year":2008,"publication_date":"2008-05-01","ids":{"openalex":"https://openalex.org/W2105401337","doi":"https://doi.org/10.1109/robot.2008.4543716","mag":"2105401337"},"language":"en","primary_location":{"id":"doi:10.1109/robot.2008.4543716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","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/A5090243415","display_name":"Daniel H. Grollman","orcid":"https://orcid.org/0000-0002-8757-727X"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel H Grollman","raw_affiliation_strings":["Department of Computer Science, Brown University, USA","Department of Computer Science, Brown University, Providence, RI,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071106238","display_name":"Odest Chadwicke Jenkins","orcid":"https://orcid.org/0000-0003-3750-7334"},"institutions":[{"id":"https://openalex.org/I175594653","display_name":"John Brown University","ror":"https://ror.org/02ct41q97","country_code":"US","type":"education","lineage":["https://openalex.org/I175594653"]},{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Odest Chadwicke Jenkins","raw_affiliation_strings":["Department of Computer Science, Brown University, USA","Department of Computer Science, Brown University, Providence, RI,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brown University, USA","institution_ids":["https://openalex.org/I175594653"]},{"raw_affiliation_string":"Department of Computer Science, Brown University, Providence, RI,","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090243415"],"corresponding_institution_ids":["https://openalex.org/I175594653","https://openalex.org/I27804330"],"apc_list":null,"apc_paid":null,"fwci":11.1223,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.98226336,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3315","last_page":"3320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9994000196456909,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9994000196456909,"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/T11236","display_name":"Control Systems and Identification","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9884999990463257,"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/computer-science","display_name":"Computer science","score":0.7453799247741699},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6033693552017212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5813943147659302},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5507416129112244},{"id":"https://openalex.org/keywords/incremental-learning","display_name":"Incremental learning","score":0.5446478724479675},{"id":"https://openalex.org/keywords/teleoperation","display_name":"Teleoperation","score":0.5078473687171936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5074355006217957},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48864156007766724},{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.4470238983631134},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09594014286994934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09460538625717163}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453799247741699},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6033693552017212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5813943147659302},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5507416129112244},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.5446478724479675},{"id":"https://openalex.org/C161759796","wikidata":"https://www.wikidata.org/wiki/Q3982902","display_name":"Teleoperation","level":3,"score":0.5078473687171936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5074355006217957},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48864156007766724},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.4470238983631134},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09594014286994934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09460538625717163},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/robot.2008.4543716","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robot.2008.4543716","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.179.3109","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.179.3109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.brown.edu/%7Edang/publications/GrollmanJenkins_ICRA2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6000000238418579,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"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":19,"referenced_works":["https://openalex.org/W568924265","https://openalex.org/W637887103","https://openalex.org/W1540685400","https://openalex.org/W1571870753","https://openalex.org/W1971890413","https://openalex.org/W1976606095","https://openalex.org/W2103254706","https://openalex.org/W2103285838","https://openalex.org/W2111683289","https://openalex.org/W2138069128","https://openalex.org/W2150884987","https://openalex.org/W2154342426","https://openalex.org/W2155027007","https://openalex.org/W2160863137","https://openalex.org/W2164504363","https://openalex.org/W2167244018","https://openalex.org/W6632235069","https://openalex.org/W6676528262","https://openalex.org/W6683204974"],"related_works":["https://openalex.org/W1923069992","https://openalex.org/W2160982102","https://openalex.org/W2048862765","https://openalex.org/W2770942502","https://openalex.org/W4281943815","https://openalex.org/W2364738582","https://openalex.org/W2160932924","https://openalex.org/W2082997813","https://openalex.org/W2296377172","https://openalex.org/W2061017013"],"abstract_inverted_index":{"We":[0,47,74],"are":[1,43],"interested":[2],"in":[3,63,78],"transferring":[4],"control":[5],"policies":[6],"for":[7,37],"arbitrary":[8],"tasks":[9],"from":[10],"a":[11,14,53],"human":[12],"to":[13,88],"robot.":[15],"Using":[16],"interactive":[17,38],"demonstration":[18],"via":[19],"teleoperation":[20],"as":[21,28],"our":[22],"transfer":[23],"scenario,":[24],"we":[25],"cast":[26],"learning":[27,39,56],"statistical":[29],"regression":[30],"over":[31],"sensor-actuator":[32],"data":[33,72,90],"pairs.":[34],"Our":[35],"desire":[36],"necessitates":[40],"algorithms":[41],"that":[42],"incremental":[44],"and":[45,58,69,86],"realtime.":[46],"examine":[48],"locally":[49],"weighted":[50],"projection":[51],"regression,":[52],"popular":[54],"robotic":[55],"algorithm,":[57],"sparse":[59],"online":[60],"Gaussian":[61],"processes":[62],"this":[64],"domain":[65],"on":[66],"one":[67],"synthetic":[68],"several":[70],"robot-generated":[71],"sets.":[73,91],"evaluate":[75],"each":[76],"algorithm":[77],"terms":[79],"of":[80],"function":[81],"approximation,":[82],"learned":[83],"task":[84],"performance,":[85],"scalability":[87],"large":[89]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":6}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}