{"id":"https://openalex.org/W4391096283","doi":"https://doi.org/10.1109/bigdata59044.2023.10386726","title":"Snake in the Labyrinth: Scenes from the Machine\u2019s Deep Q-Learning Experience","display_name":"Snake in the Labyrinth: Scenes from the Machine\u2019s Deep Q-Learning Experience","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391096283","doi":"https://doi.org/10.1109/bigdata59044.2023.10386726"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386726","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5036027723","display_name":"Jeffrey M. Morris","orcid":"https://orcid.org/0000-0001-8941-8099"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffrey M. Morris","raw_affiliation_strings":["Texas A&M University College Station,School of Performance, Visualization, and Fine Arts,Texas,USA"],"affiliations":[{"raw_affiliation_string":"Texas A&M University College Station,School of Performance, Visualization, and Fine Arts,Texas,USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5036027723"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18989171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4511","last_page":"4511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.991599977016449,"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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.991599977016449,"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"}},{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6253882646560669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5731222629547119},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.472549170255661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6253882646560669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5731222629547119},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.472549170255661}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386726","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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":4,"referenced_works":["https://openalex.org/W3083524045","https://openalex.org/W3209794146","https://openalex.org/W4234912382","https://openalex.org/W6786724149"],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"\u201cSnake":[0],"in":[1,68,83,114,125],"the":[2,11,25,32,46,49,54,59,73,76,87,107,111],"Labyrinth\u201d":[3],"is":[4,21],"an":[5],"audiovisual":[6],"art":[7,91],"installation":[8],"driven":[9],"by":[10,58],"gameplay":[12,55],"decisions":[13,56],"of":[14,48,86,110,120],"a":[15,36,95],"deep":[16,115],"Q-learning":[17],"system":[18,33,97],"as":[19,61,63,98],"it":[20,39],"trained":[22,96],"to":[23,34,81,100,106],"play":[24],"video":[26],"game":[27,74],"Snake.":[28],"Rather":[29],"than":[30,93],"using":[31],"perform":[35],"task":[37],"after":[38],"has":[40],"completed":[41],"training,":[42],"this":[43],"work":[44],"sonifies":[45],"events":[47],"training":[50,77,88,112],"process":[51,89,113],"itself,":[52],"including":[53],"made":[57],"system-in-training":[60],"well":[62],"its":[64],"successes":[65],"and":[66,117],"failures":[67],"each":[69],"attempt":[70],"at":[71],"playing":[72],"during":[75],"process.":[78],"It":[79],"contributes":[80],"explorations":[82],"exploiting":[84],"artifacts":[85],"for":[90],"rather":[92],"treating":[94],"expert":[99],"produce":[101],"perfected":[102],"content,":[103],"giving":[104],"voice":[105],"unpredictable":[108],"nature":[109],"learning,":[116],"seeking":[118],"semblance":[119],"native,":[121],"as-if":[122],"organic":[123],"behaviors":[124],"artificial":[126],"neural":[127],"networks.":[128]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}