{"id":"https://openalex.org/W4389667363","doi":"https://doi.org/10.1109/iros55552.2023.10342166","title":"A Bayesian Reinforcement Learning Method for Periodic Robotic Control Under Significant Uncertainty","display_name":"A Bayesian Reinforcement Learning Method for Periodic Robotic Control Under Significant Uncertainty","publication_year":2023,"publication_date":"2023-10-01","ids":{"openalex":"https://openalex.org/W4389667363","doi":"https://doi.org/10.1109/iros55552.2023.10342166"},"language":"en","primary_location":{"id":"doi:10.1109/iros55552.2023.10342166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10342166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5100669026","display_name":"Yuanyuan Jia","orcid":"https://orcid.org/0000-0001-9880-5090"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuanyuan Jia","raw_affiliation_strings":["Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089225173","display_name":"Pedro Miguel Uriguen Eljuri","orcid":"https://orcid.org/0000-0001-7413-0463"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pedro Miguel Uriguen Eljuri","raw_affiliation_strings":["Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577","institution_ids":["https://openalex.org/I135768898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023160093","display_name":"Tadahiro Taniguchi","orcid":"https://orcid.org/0000-0002-5682-2076"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadahiro Taniguchi","raw_affiliation_strings":["Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ritsumeikan University,Dept. of Info. Science and Engineering,Japan,525-8577","institution_ids":["https://openalex.org/I135768898"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135768898"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"384","last_page":"391"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9693999886512756,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9693999886512756,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9603999853134155,"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":0.9531000256538391,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8540846109390259},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6539688110351562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6099103689193726},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5832953453063965},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.5263770222663879},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5220758318901062},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5136906504631042},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5125243663787842},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4996774196624756},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4820909798145294},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4623817801475525},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4196149706840515},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.41841816902160645},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4155648350715637},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16277706623077393},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.157734215259552}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8540846109390259},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6539688110351562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099103689193726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5832953453063965},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5263770222663879},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5220758318901062},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5136906504631042},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5125243663787842},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4996774196624756},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4820909798145294},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4623817801475525},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4196149706840515},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.41841816902160645},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4155648350715637},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16277706623077393},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.157734215259552},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iros55552.2023.10342166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros55552.2023.10342166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W186521003","https://openalex.org/W1580211132","https://openalex.org/W1968172146","https://openalex.org/W2076519833","https://openalex.org/W2160067530","https://openalex.org/W2168029749","https://openalex.org/W2593088557","https://openalex.org/W2604382266","https://openalex.org/W2623726563","https://openalex.org/W2780328254","https://openalex.org/W2788862220","https://openalex.org/W2958177177","https://openalex.org/W3012452733","https://openalex.org/W3100789280","https://openalex.org/W3132175036","https://openalex.org/W4281627546","https://openalex.org/W4327989830","https://openalex.org/W4388323202","https://openalex.org/W6617145748","https://openalex.org/W6683935339","https://openalex.org/W6692846177","https://openalex.org/W6750253780","https://openalex.org/W6774445294","https://openalex.org/W6841382616"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W4225571923","https://openalex.org/W3212257828","https://openalex.org/W4297873223","https://openalex.org/W2350784623","https://openalex.org/W2126211886","https://openalex.org/W3161345512"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,31,46,70,79,93],"lack":[4],"of":[5,95],"research":[6],"on":[7,28,98],"periodic":[8,19],"reinforcement":[9,21],"learning":[10,22],"for":[11,24,53],"physical":[12],"robot":[13],"control":[14,56,76,100],"by":[15,63,77],"presenting":[16],"a":[17,51,54,65,105,109],"3-phase":[18],"Bayesian":[20],"method":[23],"uncertain":[25],"environments.":[26],"Drawing":[27],"cognition":[29],"theory,":[30],"proposed":[32],"approach":[33,97],"achieves":[34],"effective":[35],"convergence":[36],"with":[37,89],"fewer":[38],"training":[39],"episodes.":[40],"The":[41,58],"coach-based":[42],"demonstration":[43],"phase":[44,60,72],"narrows":[45],"search":[47],"space":[48],"and":[49,69,82,104],"establishes":[50],"foundation":[52],"coarse-to-fine":[55],"strategy.":[57],"reconnaissance":[59],"enhances":[61],"adaptability":[62],"discovering":[64],"valuable":[66],"global":[67],"repre-sentation,":[68],"operation":[71],"produces":[73],"accurate":[74],"robotic":[75],"applying":[78],"learned":[80],"representation":[81],"periodically":[83],"updating":[84],"local":[85],"information.":[86],"Comparative":[87],"analysis":[88],"state-of-the-art":[90],"methods":[91],"validates":[92],"efficacy":[94],"our":[96],"exemplar":[99],"tasks":[101],"in":[102],"simulation":[103],"biomedical":[106],"project":[107],"involving":[108],"simulated":[110],"cranial":[111],"window":[112],"task.":[113]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
