{"id":"https://openalex.org/W2188030927","doi":null,"title":"A QuantumReinforcement Learning MethodforRepeated GameTheory","display_name":"A QuantumReinforcement Learning MethodforRepeated GameTheory","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2188030927","mag":"2188030927"},"language":"en","primary_location":{"id":"mag:2188030927","doi":null,"is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/iel5/4072023/4072024/04072045.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5100697167","display_name":"Chunlin Chen","orcid":"https://orcid.org/0000-0003-3929-4707","observed_orcids":["https://orcid.org/0000-0003-3929-4707"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chunlin Chen","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3929-4707","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100697167"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.663100004196167,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.663100004196167,"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/T11031","display_name":"Game Theory and Applications","score":0.22689999639987946,"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"}},{"id":"https://openalex.org/T10020","display_name":"Quantum Information and Cryptography","score":0.03400000184774399,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantum-reinforcement-learning","display_name":"quantum reinforcement learning","score":1.0},{"id":"https://openalex.org/keywords/repeated-games","display_name":"repeated games","score":0.9929999709129333},{"id":"https://openalex.org/keywords/quantum-superposition","display_name":"quantum superposition","score":0.9580000042915344},{"id":"https://openalex.org/keywords/game-theory","display_name":"game theory","score":0.7590000033378601},{"id":"https://openalex.org/keywords/quantum-computing","display_name":"quantum computing","score":0.49799999594688416}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6340546607971191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.560832679271698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065678358078003},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.495079904794693},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.4798293113708496},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4233488440513611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.223802387714386},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.14559710025787354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12930616736412048}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2188030927","doi":null,"is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/iel5/4072023/4072024/04072045.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1526668070","https://openalex.org/W1576452626","https://openalex.org/W1979260239","https://openalex.org/W1996519437","https://openalex.org/W2012206667","https://openalex.org/W2019112050","https://openalex.org/W2084652510","https://openalex.org/W2105156843","https://openalex.org/W2107726111","https://openalex.org/W2128609675","https://openalex.org/W2179731956","https://openalex.org/W2582029817","https://openalex.org/W3037216216","https://openalex.org/W3038125555"],"related_works":["https://openalex.org/W2121326822","https://openalex.org/W3001056041","https://openalex.org/W4285119095","https://openalex.org/W2127830251","https://openalex.org/W4392155943","https://openalex.org/W4235591977","https://openalex.org/W2183524453","https://openalex.org/W4384824031","https://openalex.org/W4404401672","https://openalex.org/W6927284753"],"abstract_inverted_index":{"Inthis":[0],"paper,":[1],"a":[2],"quantum":[3,17],"reinforcement":[4],"learning":[5,12],"method":[6],"isproposed":[7],"forrepeated":[8],"gametheory.":[9],"First,":[10],"thequantumreinforcement":[11],"algorithm":[13],"is":[14],"introduced":[15],"basedon":[16],"state":[18],"superposition":[19],"principle":[20],"anditssuperiority":[21],"isanalyzed.":[22],"Then,":[23],"itis":[24],"applied":[25],"torepeated":[26],"gamesandtheexperiments":[27],"show":[28],"itseffectiveness.":[29],"Related":[30],"issues":[31],"arealsodiscussed":[32],"before":[33],"theconclusion":[34],"isgiven.":[35]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
