{"id":"https://openalex.org/W3131282358","doi":"https://doi.org/10.1109/iros45743.2020.9341335","title":"Learning Hierarchical Acquisition Functions for Bayesian Optimization","display_name":"Learning Hierarchical Acquisition Functions for Bayesian Optimization","publication_year":2020,"publication_date":"2020-10-24","ids":{"openalex":"https://openalex.org/W3131282358","doi":"https://doi.org/10.1109/iros45743.2020.9341335","mag":"3131282358"},"language":"en","primary_location":{"id":"doi:10.1109/iros45743.2020.9341335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341335","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":"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/A5076658835","display_name":"Nils Rottmann","orcid":"https://orcid.org/0000-0003-1774-9571"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Nils Rottmann","raw_affiliation_strings":["Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033357188","display_name":"Tja\u0161a Kunavar","orcid":"https://orcid.org/0000-0003-3403-3241"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Tjasa Kunavar","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060743876","display_name":"Jan Babi\u010d","orcid":"https://orcid.org/0000-0002-1870-8264"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Jan Babic","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Slovenia","institution_ids":["https://openalex.org/I3006985408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071367253","display_name":"Jan Peters","orcid":"https://orcid.org/0000-0002-5266-8091"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]},{"id":"https://openalex.org/I4210135521","display_name":"Max Planck Institute for Intelligent Systems","ror":"https://ror.org/04fq9j139","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210135521"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jan Peters","raw_affiliation_strings":["Robot Learning Group, Max-Planck Institute for Intelligent Systems, Tuebingen, Germany","Technische Universit\u00e4t, Darmstadt, Germany"],"affiliations":[{"raw_affiliation_string":"Robot Learning Group, Max-Planck Institute for Intelligent Systems, Tuebingen, Germany","institution_ids":["https://openalex.org/I4210135521"]},{"raw_affiliation_string":"Technische Universit\u00e4t, Darmstadt, Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037230603","display_name":"Elmar Rueckert","orcid":"https://orcid.org/0000-0003-1221-8253"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Elmar Rueckert","raw_affiliation_strings":["Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Robotics and Cognitive Systems, University of Luebeck, Luebeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076658835"],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20553482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"5490","last_page":"5496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9976999759674072,"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":0.9976999759674072,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9811999797821045,"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/T13280","display_name":"Biomedical and Engineering Education","score":0.9269999861717224,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/bayesian-optimization","display_name":"Bayesian optimization","score":0.8103930354118347},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768465518951416},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6570941805839539},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6480956077575684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.64471435546875},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5504669547080994},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5172448754310608},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5158759355545044},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5130914449691772},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48094695806503296},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4477901756763458},{"id":"https://openalex.org/keywords/memorization","display_name":"Memorization","score":0.4143056273460388},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4109058678150177},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2133486568927765},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09301590919494629}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.8103930354118347},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768465518951416},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6570941805839539},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6480956077575684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.64471435546875},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5504669547080994},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5172448754310608},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5158759355545044},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5130914449691772},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48094695806503296},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4477901756763458},{"id":"https://openalex.org/C30038468","wikidata":"https://www.wikidata.org/wiki/Q4354775","display_name":"Memorization","level":2,"score":0.4143056273460388},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4109058678150177},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2133486568927765},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09301590919494629},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros45743.2020.9341335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros45743.2020.9341335","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/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W770013183","https://openalex.org/W1483202606","https://openalex.org/W1491420040","https://openalex.org/W1499669280","https://openalex.org/W1502922572","https://openalex.org/W1564755532","https://openalex.org/W1581095231","https://openalex.org/W1582016163","https://openalex.org/W1596757878","https://openalex.org/W1606738297","https://openalex.org/W1871676304","https://openalex.org/W1873049249","https://openalex.org/W1981483064","https://openalex.org/W1997543377","https://openalex.org/W2007864935","https://openalex.org/W2046669420","https://openalex.org/W2057819258","https://openalex.org/W2061350632","https://openalex.org/W2063741856","https://openalex.org/W2072763216","https://openalex.org/W2121658992","https://openalex.org/W2137104525","https://openalex.org/W2138537392","https://openalex.org/W2143277772","https://openalex.org/W2145237058","https://openalex.org/W2161767008","https://openalex.org/W2185709919","https://openalex.org/W2192203593","https://openalex.org/W2414007181","https://openalex.org/W2460349222","https://openalex.org/W2474696542","https://openalex.org/W2543071036","https://openalex.org/W2696385650","https://openalex.org/W2934826380","https://openalex.org/W2953083211","https://openalex.org/W2962824535","https://openalex.org/W3099442372","https://openalex.org/W3147919432","https://openalex.org/W4211049957","https://openalex.org/W4300223101","https://openalex.org/W6629021139","https://openalex.org/W6629388918","https://openalex.org/W6629804754","https://openalex.org/W6633472939","https://openalex.org/W6639099100","https://openalex.org/W6681367012","https://openalex.org/W6683852811","https://openalex.org/W6686239993","https://openalex.org/W6719274773","https://openalex.org/W6739951569","https://openalex.org/W6741820034","https://openalex.org/W6761535931"],"related_works":["https://openalex.org/W3104422856","https://openalex.org/W4206864338","https://openalex.org/W4287867179","https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4293503520","https://openalex.org/W4300066510","https://openalex.org/W3134690064","https://openalex.org/W2056958800","https://openalex.org/W4210726438"],"abstract_inverted_index":{"Learning":[0],"control":[1,66],"policies":[2],"in":[3,64,118,138,147,152],"robotic":[4],"tasks":[5],"requires":[6],"a":[7,34,48,90,119],"large":[8,86],"number":[9,140],"of":[10,77,110,141,155],"interactions":[11,142],"due":[12],"to":[13,42,100,143,166],"small":[14],"learning":[15,84,87,169],"rates,":[16],"bounds":[17],"on":[18],"the":[19,55,72,75,78,105,111,139,145,148,153,170],"updates":[20],"or":[21,37],"unknown":[22],"constraints.":[23],"In":[24,40],"contrast":[25],"humans":[26,167],"can":[27],"infer":[28],"protective":[29],"and":[30,58,74,121,151],"safe":[31],"solutions":[32],"after":[33],"single":[35],"failure":[36],"unexpected":[38],"observation.":[39],"order":[41],"reach":[43],"similar":[44,165],"performance,":[45],"we":[46,159],"developed":[47],"hierarchical":[49,112],"Bayesian":[50,113,136],"optimization":[51,114,132],"algorithm":[52],"that":[53,95,98,161],"replicates":[54],"cognitive":[56],"inference":[57],"memorization":[59],"process":[60],"for":[61,168],"avoiding":[62],"failures":[63,101],"motor":[65],"tasks.":[67],"A":[68],"Gaussian":[69],"Process":[70],"implements":[71],"modeling":[73],"sampling":[76,106],"acquisition":[79],"function.":[80],"This":[81],"enables":[82],"rapid":[83],"with":[85,179],"rates":[88],"while":[89],"mental":[91],"replay":[92],"phase":[93],"ensures":[94],"policy":[96],"regions":[97],"led":[99],"are":[102,116],"inhibited":[103],"during":[104],"process.":[107],"The":[108,127],"features":[109],"method":[115,128,163],"evaluated":[117],"simulated":[120],"physiological":[122],"humanoid":[123],"postural":[124,171],"balancing":[125,172],"task.":[126],"out-":[129],"performs":[130,164],"standard":[131],"techniques,":[133],"such":[134],"as":[135],"Optimization,":[137],"solve":[144],"task,":[146],"computational":[149],"demands":[150],"frequency":[154],"observed":[156],"failures.":[157],"Further,":[158],"show":[160],"our":[162,176],"task":[173],"by":[174],"comparing":[175],"simulation":[177],"results":[178],"real":[180],"human":[181],"data.":[182]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}