{"id":"https://openalex.org/W4378676949","doi":"https://doi.org/10.1145/3590003.3590101","title":"Research on Constant Perturbation Strategy for Deep Reinforcement Learning","display_name":"Research on Constant Perturbation Strategy for Deep Reinforcement Learning","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4378676949","doi":"https://doi.org/10.1145/3590003.3590101"},"language":"en","primary_location":{"id":"doi:10.1145/3590003.3590101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3590003.3590101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","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/A5052602238","display_name":"Jiamin Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiamin Shen","raw_affiliation_strings":["Shenyang Aerospace University, China"],"raw_orcid":"https://orcid.org/0000-0003-4947-3151","affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057904235","display_name":"Li Xu","orcid":"https://orcid.org/0009-0006-4083-639X"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Xu","raw_affiliation_strings":["Shenyang Aerospace University, China"],"raw_orcid":"https://orcid.org/0009-0006-4083-639X","affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100623962","display_name":"Xu Wan","orcid":"https://orcid.org/0000-0003-0849-8555"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wan","raw_affiliation_strings":["Shenyang Aircraft Design and Research Institute, China"],"raw_orcid":"https://orcid.org/0000-0003-0849-8555","affiliations":[{"raw_affiliation_string":"Shenyang Aircraft Design and Research Institute, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079015583","display_name":"J.-S. Chai","orcid":"https://orcid.org/0000-0002-5569-9504"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jixuan Chai","raw_affiliation_strings":["Shenyang Aerospace University, China"],"raw_orcid":"https://orcid.org/0000-0002-5569-9504","affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University, China","institution_ids":["https://openalex.org/I125904092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100661116","display_name":"Chunlong Fan","orcid":"https://orcid.org/0000-0001-8127-6292"},"institutions":[{"id":"https://openalex.org/I125904092","display_name":"Shenyang Aerospace University","ror":"https://ror.org/02423gm04","country_code":"CN","type":"education","lineage":["https://openalex.org/I125904092"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlong Fan","raw_affiliation_strings":["Shenyang Aerospace University, China"],"raw_orcid":"https://orcid.org/0000-0001-8127-6292","affiliations":[{"raw_affiliation_string":"Shenyang Aerospace University, China","institution_ids":["https://openalex.org/I125904092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052602238"],"corresponding_institution_ids":["https://openalex.org/I125904092"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53556565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"526","last_page":"533"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9941999912261963,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9941999912261963,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9718000292778015,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.9127596616744995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6575680375099182},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.6488275527954102},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5544789433479309},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.5512450933456421},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.5475559830665588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.528831422328949},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5003595352172852},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4994781017303467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2841310501098633},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09101217985153198},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07313039898872375}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9127596616744995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6575680375099182},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.6488275527954102},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5544789433479309},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.5512450933456421},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.5475559830665588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.528831422328949},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5003595352172852},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4994781017303467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2841310501098633},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09101217985153198},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07313039898872375},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3590003.3590101","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3590003.3590101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6499999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2257979135","https://openalex.org/W2747329762","https://openalex.org/W2807499323","https://openalex.org/W2941205169","https://openalex.org/W2962755762","https://openalex.org/W2997293639","https://openalex.org/W2998116579"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"The":[0],"development":[1],"of":[2,13,40,43,58,74,139],"attack":[3,88],"algorithms":[4],"for":[5,29],"deep":[6,23,30,76],"reinforcement":[7,24,31,77],"learning":[8,32,78],"is":[9,52,66],"an":[10,46,125],"important":[11],"part":[12],"its":[14,49],"security":[15],"research.":[16],"In":[17],"this":[18,121],"paper,":[19],"we":[20],"propose":[21],"a":[22,55,63,102],"constant":[25,64,95],"perturbation":[26,65,96],"strategy":[27],"approach":[28],"with":[33],"long-range":[34,71],"time-series":[35],"dependence":[36],"from":[37],"the":[38,41,70,75,87,94,118,129,137],"perspective":[39],"sequence":[42],"interaction":[44,60],"between":[45],"agent":[47],"and":[48,62,113,133],"environment.The":[50],"algorithm":[51,79,122],"based":[53,80,97],"on":[54,81,98,128],"small":[56],"amount":[57],"historical":[59],"information,":[61],"designed":[67],"to":[68,85,108],"disrupt":[69],"temporal":[72],"association":[73],"sensitive":[82],"region":[83],"selection":[84],"achieve":[86],"effect.The":[89],"experimental":[90],"results":[91],"show":[92],"that":[93],"time":[99],"series":[100],"has":[101,124],"good":[103],"effect,":[104],"i.e.":[105],"inducing":[106],"agents":[107],"make":[109],"frequent":[110],"wrong":[111],"decisions":[112],"get":[114],"minimal":[115],"reward.":[116],"At":[117],"same":[119],"time,":[120],"still":[123],"attacking":[126],"effect":[127],"defensively":[130],"trained":[131],"agents,":[132],"it":[134],"effectively":[135],"reduces":[136],"number":[138],"computations":[140],"adversarial":[141],"perturbations.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}