{"id":"https://openalex.org/W2759512171","doi":"https://doi.org/10.15439/2017f559","title":"Evaluation of Hearthstone Game States With Neural Networks and Sparse Autoencoding","display_name":"Evaluation of Hearthstone Game States With Neural Networks and Sparse Autoencoding","publication_year":2017,"publication_date":"2017-09-24","ids":{"openalex":"https://openalex.org/W2759512171","doi":"https://doi.org/10.15439/2017f559","mag":"2759512171"},"language":"en","primary_location":{"id":"doi:10.15439/2017f559","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f559","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/559.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/2017/drp/pdf/559.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066886835","display_name":"J\u00e1n Jakub\u00edk","orcid":"https://orcid.org/0000-0002-7816-1205"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]},{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Jan Jakubik","raw_affiliation_strings":["Wrocaw University of Science and Technology Department of Computational Intelligence Wrocaw, Poland","Wroc\u0142aw University of Science and Technology Department of Computational Intelligence Wroc\u0142aw, Poland"],"affiliations":[{"raw_affiliation_string":"Wrocaw University of Science and Technology Department of Computational Intelligence Wrocaw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]},{"raw_affiliation_string":"Wroc\u0142aw University of Science and Technology Department of Computational Intelligence Wroc\u0142aw, Poland","institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5066886835"],"corresponding_institution_ids":["https://openalex.org/I11923345","https://openalex.org/I686019"],"apc_list":null,"apc_paid":null,"fwci":0.3115,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63199348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"135","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/autoencoder","display_name":"Autoencoder","score":0.7538021802902222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7364446520805359},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.650826632976532},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6180395483970642},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498268604278564},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"Neuroevolution","score":0.5180528163909912},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.48552370071411133},{"id":"https://openalex.org/keywords/decorrelation","display_name":"Decorrelation","score":0.4456598162651062},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.433029443025589},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.42147043347358704},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35361629724502563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32519984245300293},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25228095054626465}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7538021802902222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7364446520805359},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.650826632976532},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6180395483970642},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498268604278564},{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.5180528163909912},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.48552370071411133},{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.4456598162651062},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.433029443025589},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.42147043347358704},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35361629724502563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32519984245300293},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25228095054626465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.15439/2017f559","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f559","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/559.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.15439/2017f559","is_oa":true,"landing_page_url":"https://doi.org/10.15439/2017f559","pdf_url":"https://annals-csis.org/proceedings/2017/drp/pdf/559.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2759512171.pdf","grobid_xml":"https://content.openalex.org/works/W2759512171.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2123585936","https://openalex.org/W2146502635","https://openalex.org/W2181083374","https://openalex.org/W2257979135","https://openalex.org/W2384495648","https://openalex.org/W2395945925","https://openalex.org/W3121574643","https://openalex.org/W4293568472"],"related_works":["https://openalex.org/W1604939135","https://openalex.org/W2127058578","https://openalex.org/W2098040275","https://openalex.org/W2735368845","https://openalex.org/W2089764958","https://openalex.org/W2964282857","https://openalex.org/W4299507693","https://openalex.org/W2735796404","https://openalex.org/W3031223029","https://openalex.org/W3167704465"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3,40,49,87],"approach":[4,93],"to":[5,23,103],"evaluating":[6],"game":[7,13,33,37],"states":[8],"of":[9,27,78,111],"a":[10,31,52,61,83],"collectible":[11],"card":[12],"Hearthstone":[14],"is":[15,21,43,74],"described.":[16],"A":[17],"deep":[18],"neural":[19,47],"network":[20],"employed":[22],"predict":[24],"the":[25,36,72],"probability":[26],"winning":[28],"associated":[29],"with":[30,51],"given":[32],"state.":[34],"Encoding":[35],"state":[38],"as":[39],"input":[41],"vector":[42],"based":[44],"on":[45],"another":[46],"network,":[48],"autoencoder":[50,56],"sparsity-inducing":[53],"loss.":[54],"The":[55,92],"encodes":[57],"minion":[58],"information":[59],"in":[60],"sparse-like":[62],"fashion":[63],"so":[64],"that":[65],"it":[66],"can":[67],"be":[68],"efficiently":[69],"aggregated.":[70],"Additionally,":[71],"model":[73],"regularized":[75],"by":[76],"decorrelation":[77],"hidden":[79],"layer":[80],"neuron":[81],"activations,":[82],"concept":[84],"derived":[85],"from":[86],"existing":[88],"regularizing":[89],"method":[90],"DeCov.":[91],"was":[94],"developed":[95],"for":[96],"AAIA'17":[97],"data":[98],"mining":[99],"competition":[100],"\"Helping":[101],"AI":[102],"play":[104],"Hearthstone\"":[105],"and":[106],"achieved":[107],"5th":[108],"place":[109],"out":[110],"188":[112],"submissions.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
