{"id":"https://openalex.org/W2965603139","doi":"https://doi.org/10.1109/tsp.2019.8768860","title":"Supervised Learning in Multi-Agent Environments Using Inverse Point of View","display_name":"Supervised Learning in Multi-Agent Environments Using Inverse Point of View","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2965603139","doi":"https://doi.org/10.1109/tsp.2019.8768860","mag":"2965603139"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.8768860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8768860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","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/A5073470125","display_name":"Karel Kucha\u0159","orcid":"https://orcid.org/0000-0002-5972-9037"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Karel Kuchar","raw_affiliation_strings":["Department of Telecommunication, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077524659","display_name":"Eva Holasov\u00e1","orcid":"https://orcid.org/0000-0002-5584-2948"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Eva Holasova","raw_affiliation_strings":["Department of Telecommunication, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072228810","display_name":"Lukas Hrboticky","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Lukas Hrboticky","raw_affiliation_strings":["Department of Telecommunication, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021013784","display_name":"Martin Rajnoha","orcid":null},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Rajnoha","raw_affiliation_strings":["Department of Telecommunication, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036042625","display_name":"Radim B\u00fcrget","orcid":"https://orcid.org/0000-0003-1849-5390"},"institutions":[{"id":"https://openalex.org/I60587646","display_name":"Brno University of Technology","ror":"https://ror.org/03613d656","country_code":"CZ","type":"education","lineage":["https://openalex.org/I60587646"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radim Burget","raw_affiliation_strings":["Department of Telecommunication, Brno University of Technology, Brno, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Telecommunication, Brno University of Technology, Brno, Czech Republic","institution_ids":["https://openalex.org/I60587646"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2892,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66389219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"628"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9961000084877014,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9961000084877014,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9947999715805054,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.989300012588501,"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":0.7390942573547363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7200992107391357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6898677945137024},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5761754512786865},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5066586136817932},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.4547601640224457},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4446139931678772},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42931559681892395},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4129210412502289},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15926134586334229},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10802370309829712}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390942573547363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7200992107391357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6898677945137024},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5761754512786865},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5066586136817932},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.4547601640224457},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4446139931678772},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42931559681892395},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4129210412502289},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15926134586334229},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10802370309829712},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2019.8768860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.8768860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 42nd International Conference on Telecommunications and Signal Processing (TSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W128984794","https://openalex.org/W1515851193","https://openalex.org/W1557418592","https://openalex.org/W1568614974","https://openalex.org/W1583031633","https://openalex.org/W2040895929","https://openalex.org/W2163605009","https://openalex.org/W2330820318","https://openalex.org/W2346062110","https://openalex.org/W2565954814","https://openalex.org/W2766374614","https://openalex.org/W2905181083","https://openalex.org/W3085162807","https://openalex.org/W4214717370","https://openalex.org/W6634046809","https://openalex.org/W6684191040","https://openalex.org/W6757207288"],"related_works":["https://openalex.org/W2961374456","https://openalex.org/W122912556","https://openalex.org/W1586607209","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2348322200","https://openalex.org/W2981952041","https://openalex.org/W2328989934"],"abstract_inverted_index":{"There":[0],"are":[1,5,26,39],"many":[2],"approaches":[3,16,100],"that":[4,101],"being":[6],"used":[7,54,118],"in":[8],"multi-agent":[9],"environment":[10,89],"to":[11,131,151],"learn":[12],"agents'":[13,104],"behaviour.":[14],"Semisupervised":[15],"such":[17],"as":[18],"reinforcement":[19],"learning":[20,51,64,77],"(RL)":[21],"or":[22,133],"genetic":[23],"programming":[24],"(GP)":[25],"one":[27],"of":[28,34,82,98,109],"the":[29,113],"most":[30],"frequently":[31],"used.":[32],"Disadvantage":[33],"these":[35],"methods":[36],"is":[37,53,124],"they":[38],"relatively":[40],"computational":[41],"resources":[42],"demanding,":[43],"suffers":[44],"from":[45,94],"vanishing":[46],"gradient":[47],"during":[48],"when":[49,129],"machine":[50,76,121],"approach":[52,111],"and":[55,90,106,140],"has":[56],"often":[57],"non-convex":[58],"optimization":[59],"function,":[60],"which":[61,123],"makes":[62],"behaviour":[63],"challenging.":[65],"This":[66],"paper":[67],"introduces":[68],"a":[69],"method":[70,85,137],"for":[71,74],"data":[72,92,115],"gathering":[73],"supervised":[75,120],"using":[78],"agent's":[79,87],"inverse":[80],"point":[81],"view.":[83],"Proposed":[84],"explores":[86],"neighboring":[88],"collects":[91],"also":[93],"surrounding":[95],"agents":[96,146],"instead":[97],"traditional":[99],"uses":[102],"only":[103],"sensors":[105],"knowledge.":[107],"Advantage":[108],"this":[110],"is,":[112],"collected":[114],"can":[116],"be":[117],"with":[119],"learning,":[122],"significantly":[125],"less":[126],"computationally":[127],"demanding":[128],"compared":[130],"RL":[132],"GP.":[134],"A":[135],"proposed":[136],"was":[138],"tested":[139],"demonstrated":[141],"on":[142],"Robocode":[143],"game,":[144],"where":[145],"(i.e.":[147],"tanks)":[148],"were":[149],"trained":[150],"avoid":[152],"opponent":[153],"tanks":[154],"missiles.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}