{"id":"https://openalex.org/W3123244128","doi":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9306954","title":"Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy","display_name":"Deep Reinforcement Learning Applied to IEEE Very Small Size Soccer Strategy","publication_year":2020,"publication_date":"2020-11-09","ids":{"openalex":"https://openalex.org/W3123244128","doi":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9306954","mag":"3123244128"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre51543.2020.9306954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9306954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)","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/A5024937646","display_name":"Thiago Filipe de Medeiros","orcid":null},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]},{"id":"https://openalex.org/I4210123805","display_name":"Instituto de Aeron\u00e1utica e Espa\u00e7o","ror":"https://ror.org/025n1fp68","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210123805"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago Filipe de Medeiros","raw_affiliation_strings":["Aeronautics Institute of Technology,Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics Institute of Technology,Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4210123805"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070818662","display_name":"Marcos R. O. de A. Maximo","orcid":null},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]},{"id":"https://openalex.org/I4210123805","display_name":"Instituto de Aeron\u00e1utica e Espa\u00e7o","ror":"https://ror.org/025n1fp68","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210123805"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos R. O. de A. Maximo","raw_affiliation_strings":["Aeronautics Institute of Technology,Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics Institute of Technology,Autonomous Computational Systems Lab (LAB-SCA), Computer Science Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4210123805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007059703","display_name":"Takashi Yoneyama","orcid":"https://orcid.org/0000-0001-5375-1076"},"institutions":[{"id":"https://openalex.org/I107428990","display_name":"Instituto Tecnol\u00f3gico de Aeron\u00e1utica","ror":"https://ror.org/05vh67662","country_code":"BR","type":"education","lineage":["https://openalex.org/I107428990"]},{"id":"https://openalex.org/I4210123805","display_name":"Instituto de Aeron\u00e1utica e Espa\u00e7o","ror":"https://ror.org/025n1fp68","country_code":"BR","type":"other","lineage":["https://openalex.org/I4210123805"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Takashi Yoneyama","raw_affiliation_strings":["Aeronautics Institute of Technology,Electronic Engineering Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aeronautics Institute of Technology,Electronic Engineering Division,S\u00e3o Jos\u00e9 dos Campos,SP,Brazil","institution_ids":["https://openalex.org/I107428990","https://openalex.org/I4210123805"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998999834060669,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9998999834060669,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9847000241279602,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9775000214576721,"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":0.8638113141059875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7093462347984314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5805951952934265},{"id":"https://openalex.org/keywords/curriculum","display_name":"Curriculum","score":0.5784162878990173},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5706019401550293},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5475547909736633},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48447251319885254},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.45894140005111694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41999173164367676}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8638113141059875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093462347984314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5805951952934265},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.5784162878990173},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5706019401550293},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5475547909736633},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48447251319885254},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.45894140005111694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41999173164367676},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre51543.2020.9306954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre51543.2020.9306954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Latin American Robotics Symposium (LARS), 2020 Brazilian Symposium on Robotics (SBR) and 2020 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7510936491","display_name":null,"funder_award_id":"304134/2018-0","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G7672921453","display_name":null,"funder_award_id":"88882.446989/2019-01","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1757796397","https://openalex.org/W1992955514","https://openalex.org/W2296073425","https://openalex.org/W2657980263","https://openalex.org/W2736601468","https://openalex.org/W2981636907","https://openalex.org/W3009915523","https://openalex.org/W3013562692","https://openalex.org/W4298857966","https://openalex.org/W6739790095","https://openalex.org/W6741002519","https://openalex.org/W6769332699","https://openalex.org/W6769563484"],"related_works":["https://openalex.org/W4388150944","https://openalex.org/W4242235492","https://openalex.org/W4306904969","https://openalex.org/W4237162029","https://openalex.org/W2367268135","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2385701518","https://openalex.org/W3084456289"],"abstract_inverted_index":{"This":[0],"work":[1],"concerns":[2],"a":[3,104,134],"virtual":[4],"learning":[5],"framework":[6],"to":[7,35,38,82,96],"train":[8],"and":[9,80,94,124,139],"develop":[10],"specific":[11],"behaviours":[12],"for":[13],"robots":[14],"in":[15,49,84],"the":[16,19,40,43,47,50,69,75,85,90,128],"context":[17],"of":[18,46,52,74,116,137],"IEEE":[20],"Very":[21],"Small":[22],"Size":[23],"Soccer":[24],"competition":[25],"based":[26],"on":[27,42],"Deep":[28],"Reinforcement":[29],"Learning.":[30],"The":[31,57,72],"agents":[32,77,97,106,119,125],"are":[33],"required":[34],"learn":[36],"how":[37],"intercept":[39],"ball":[41],"player's":[44],"side":[45],"field":[48],"presence":[51],"an":[53,113],"adversary":[54],"robot":[55],"nearby.":[56],"Proximal":[58],"Policy":[59],"Optimization":[60],"algorithm,":[61],"augmented":[62],"by":[63],"Curriculum":[64,91,109,122],"Learning,":[65],"is":[66],"used":[67,100,127],"during":[68],"training":[70],"process.":[71],"performance":[73],"trained":[76,107,120],"was":[78],"evaluated":[79],"compared":[81],"those,":[83],"same":[86],"scenario,":[87],"but":[88],"without":[89,121],"Learning":[92,110,123],"technique":[93],"also":[95],"following":[98],"previously":[99],"heuristic":[101,130],"behaviors.":[102],"As":[103],"result,":[105],"with":[108,112],"outperformed,":[111],"success":[114,135],"rate":[115,136],"79.90%,":[117],"both":[118],"that":[126],"chosen":[129],"behaviour,":[131],"which":[132],"attained":[133],"72.10%":[138],"45.50%,":[140],"respectively.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}