{"id":"https://openalex.org/W1760746696","doi":"https://doi.org/10.1109/tciaig.2015.2494679","title":"A Bayesian Ensemble Regression Framework on the Angry Birds Game","display_name":"A Bayesian Ensemble Regression Framework on the Angry Birds Game","publication_year":2015,"publication_date":"2015-10-26","ids":{"openalex":"https://openalex.org/W1760746696","doi":"https://doi.org/10.1109/tciaig.2015.2494679","mag":"1760746696"},"language":"en","primary_location":{"id":"doi:10.1109/tciaig.2015.2494679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tciaig.2015.2494679","pdf_url":null,"source":{"id":"https://openalex.org/S4210179349","display_name":"IEEE Transactions on Computational Intelligence and AI in Games","issn_l":"1943-068X","issn":["1943-068X","1943-0698"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Intelligence and AI in Games","raw_type":"journal-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/A5079375197","display_name":"Nikolaos Tziortziotis","orcid":"https://orcid.org/0000-0002-2175-2610"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Tziortziotis","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Greece","Department of Computer Science & Engineering , University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Computer Science & Engineering , University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010297594","display_name":"Georgios Papagiannis","orcid":"https://orcid.org/0000-0003-1771-8695"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Papagiannis","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Greece","Department of Computer Science & Engineering , University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Computer Science & Engineering , University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051092577","display_name":"Konstantinos Blekas","orcid":"https://orcid.org/0000-0003-1085-8177"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Blekas","raw_affiliation_strings":["Department of Computer Science & Engineering, University of Ioannina, Greece","Department of Computer Science & Engineering , University of Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Department of Computer Science & Engineering , University of Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I194019607"],"apc_list":null,"apc_paid":null,"fwci":4.006,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94122441,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":"2","first_page":"104","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9890000224113464,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9890000224113464,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9889000058174133,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7004441618919373},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5665493011474609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5351482629776001},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4835043251514435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4668954610824585},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4358675181865692},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20046484470367432},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1592424213886261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7004441618919373},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5665493011474609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5351482629776001},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4835043251514435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4668954610824585},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4358675181865692},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20046484470367432},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1592424213886261}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tciaig.2015.2494679","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tciaig.2015.2494679","pdf_url":null,"source":{"id":"https://openalex.org/S4210179349","display_name":"IEEE Transactions on Computational Intelligence and AI in Games","issn_l":"1943-068X","issn":["1943-068X","1943-0698"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computational Intelligence and AI in Games","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W569196472","https://openalex.org/W1502922572","https://openalex.org/W1587191403","https://openalex.org/W1648445109","https://openalex.org/W1663973292","https://openalex.org/W1705902632","https://openalex.org/W1746819321","https://openalex.org/W1989436473","https://openalex.org/W2009086942","https://openalex.org/W2061082730","https://openalex.org/W2093323487","https://openalex.org/W2166471851","https://openalex.org/W2168405694","https://openalex.org/W2229463369","https://openalex.org/W2404041238","https://openalex.org/W4285719527","https://openalex.org/W6616135434","https://openalex.org/W6637575938","https://openalex.org/W6684880301","https://openalex.org/W6689258316","https://openalex.org/W6713217526"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"AngryBER,":[5],"an":[6,30,53],"intelligent":[7],"agent":[8],"architecture":[9],"on":[10,29,134],"the":[11,49,59,94,105,125,131,151,162,170],"Angry":[12,155],"Birds":[13,156],"domain":[14],"that":[15,78,148],"employs":[16],"a":[17,65,100],"Bayesian":[18,70],"ensemble":[19,71],"inference":[20],"mechanism":[21],"to":[22,51],"promote":[23],"decision-making":[24],"abilities.":[25],"It":[26],"is":[27,74,165],"based":[28],"efficient":[31,115],"tree-like":[32],"structure":[33],"for":[34,123],"encoding":[35],"and":[36,57,84,138,153],"representing":[37],"game":[38,62,136],"screenshots,":[39],"where":[40,104],"it":[41],"exploits":[42],"its":[43,88,140],"enhanced":[44],"modeling":[45],"capabilities.":[46],"This":[47],"has":[48,87,111,119],"advantage":[50],"establish":[52],"informative":[54],"feature":[55],"space":[56],"translate":[58],"task":[60],"of":[61,81,96,145,161],"playing":[63],"into":[64],"regression":[66,72,90,126],"analysis":[67],"problem.":[68],"A":[69],"framework":[73],"presented":[75],"by":[76,168],"considering":[77],"every":[79],"combination":[80],"objects'":[82],"material":[83],"bird":[85],"type":[86],"own":[89],"model.":[91],"We":[92,128],"address":[93],"problem":[95],"action":[97],"selection":[98],"as":[99],"multiarmed":[101],"bandit":[102],"problem,":[103],"upper":[106],"confidence":[107],"bound":[108],"(UCB)":[109],"strategy":[110],"been":[112,120],"used.":[113],"An":[114],"online":[116],"learning":[117],"procedure":[118],"also":[121],"developed":[122],"training":[124],"models.":[127],"have":[129],"evaluated":[130],"proposed":[132],"methodology":[133],"several":[135],"levels,":[137],"compared":[139],"performance":[141],"with":[142],"published":[143],"results":[144],"all":[146],"agents":[147],"participated":[149],"in":[150],"2013":[152],"2014":[154],"AI":[157],"competitions.":[158],"The":[159],"superiority":[160],"new":[163],"method":[164],"readily":[166],"deduced":[167],"inspecting":[169],"reported":[171],"results.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
