{"id":"https://openalex.org/W1952057695","doi":"https://doi.org/10.1109/cig.2015.7317916","title":"Learning overtaking and blocking skills in simulated car racing","display_name":"Learning overtaking and blocking skills in simulated car racing","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1952057695","doi":"https://doi.org/10.1109/cig.2015.7317916","mag":"1952057695"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2015.7317916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","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/A5039175184","display_name":"Han-Hsien Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Han-Hsien Huang","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu City, Taiwan","Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090163868","display_name":"Tsaipei Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsaipei Wang","raw_affiliation_strings":["Department of Computer Science, National Chiao Tung University, Hsinchu City, Taiwan","Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, Hsinchu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]},{"raw_affiliation_string":"Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039175184"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.8629,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81854007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"439","last_page":"445"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9980000257492065,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9952999949455261,"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/overtaking","display_name":"Overtaking","score":0.9965924024581909},{"id":"https://openalex.org/keywords/blocking","display_name":"Blocking (statistics)","score":0.942727267742157},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5940580368041992},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.5494999289512634},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.44607359170913696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33678165078163147},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33641132712364197},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32601404190063477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22133558988571167},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.21608519554138184},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10785654187202454}],"concepts":[{"id":"https://openalex.org/C2778448659","wikidata":"https://www.wikidata.org/wiki/Q1931051","display_name":"Overtaking","level":2,"score":0.9965924024581909},{"id":"https://openalex.org/C144745244","wikidata":"https://www.wikidata.org/wiki/Q4927286","display_name":"Blocking (statistics)","level":2,"score":0.942727267742157},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5940580368041992},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.5494999289512634},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.44607359170913696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33678165078163147},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33641132712364197},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32601404190063477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22133558988571167},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.21608519554138184},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10785654187202454},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2015.7317916","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1985591819","https://openalex.org/W1998028785","https://openalex.org/W2033406830","https://openalex.org/W2041911815","https://openalex.org/W2082260969","https://openalex.org/W2095389032","https://openalex.org/W2099201081","https://openalex.org/W2100458216","https://openalex.org/W2101771142","https://openalex.org/W2116336324","https://openalex.org/W2146461161","https://openalex.org/W2149553697","https://openalex.org/W2163712044"],"related_works":["https://openalex.org/W3084163143","https://openalex.org/W3198453306","https://openalex.org/W3081587374","https://openalex.org/W591161629","https://openalex.org/W2294880310","https://openalex.org/W3208192858","https://openalex.org/W2618142536","https://openalex.org/W1952057695","https://openalex.org/W1998028785","https://openalex.org/W4377157894"],"abstract_inverted_index":{"In":[0],"this":[1,37],"paper":[2],"we":[3],"describe":[4],"the":[5,65],"analysis":[6],"of":[7],"using":[8],"Q-learning":[9],"to":[10,30],"acquire":[11],"overtaking":[12,42,57],"and":[13,22,33,58,64,75],"blocking":[14,23,59],"skills":[15,28,60,67],"in":[16,43,83],"simulated":[17],"car":[18],"racing":[19,27],"games.":[20],"Overtaking":[21],"are":[24,68],"more":[25],"complicated":[26],"compared":[29],"driving":[31,52],"alone,":[32],"past":[34],"work":[35,48],"on":[36,79],"topic":[38],"has":[39],"only":[40],"touched":[41],"very":[44],"limited":[45],"scenarios.":[46],"Our":[47],"demonstrates":[49],"that":[50],"a":[51],"AI":[53],"agent":[54],"can":[55],"learn":[56],"via":[61],"machine":[62],"learning,":[63],"acquired":[66],"applicable":[69],"when":[70],"facing":[71],"different":[72],"opponent":[73],"types":[74],"track":[76],"characteristics,":[77],"even":[78],"actual":[80],"built-in":[81],"tracks":[82],"TORCS.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
