{"id":"https://openalex.org/W4307335334","doi":"https://doi.org/10.1145/3558819.3565169","title":"Research on Path Planning Algorithm based on Reinforcement Learning and Mean Square Error Model","display_name":"Research on Path Planning Algorithm based on Reinforcement Learning and Mean Square Error Model","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4307335334","doi":"https://doi.org/10.1145/3558819.3565169"},"language":"en","primary_location":{"id":"doi:10.1145/3558819.3565169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558819.3565169","pdf_url":null,"source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","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/A5061462116","display_name":"Likun Ye","orcid":"https://orcid.org/0000-0002-6689-1286"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Likun Ye","raw_affiliation_strings":["South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367680","display_name":"Junjie Li","orcid":"https://orcid.org/0000-0003-4840-0364"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Li","raw_affiliation_strings":["South China University of Technology, China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032070148","display_name":"Aoxiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoxiang Huang","raw_affiliation_strings":["Dongguan University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Dongguan University of Technology, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061462116"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18050348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"681","last_page":"685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9965000152587891,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.958899974822998,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9229000210762024,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8419246673583984},{"id":"https://openalex.org/keywords/motion-planning","display_name":"Motion planning","score":0.7331924438476562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7241638898849487},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.680033802986145},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.5215247273445129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5176742076873779},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.46839356422424316},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.4426983892917633},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4390830099582672},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.4284765124320984},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.385348916053772},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3405023217201233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14692264795303345},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09481796622276306}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8419246673583984},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.7331924438476562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7241638898849487},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.680033802986145},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.5215247273445129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5176742076873779},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.46839356422424316},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.4426983892917633},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4390830099582672},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.4284765124320984},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.385348916053772},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3405023217201233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14692264795303345},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09481796622276306},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3558819.3565169","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3558819.3565169","pdf_url":null,"source":{"id":"https://openalex.org/S4363608855","display_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th International Conference on Cyber Security and Information Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1974469640","https://openalex.org/W2029239567","https://openalex.org/W2038865108","https://openalex.org/W2067200690","https://openalex.org/W2112261373","https://openalex.org/W2144015438"],"related_works":["https://openalex.org/W2341492732","https://openalex.org/W1904098742","https://openalex.org/W3158921809","https://openalex.org/W2161428574","https://openalex.org/W2077416514","https://openalex.org/W2618632915","https://openalex.org/W4292862729","https://openalex.org/W2170661558","https://openalex.org/W2150982344","https://openalex.org/W2157678966"],"abstract_inverted_index":{"With":[0],"the":[1,16,21,44,60,91,99,108,114,119,128,142,149,156],"development":[2,116,121],"of":[3,15,24,36,62,93,101],"science":[4],"and":[5,18,20,40,50,97,131,134,140,154],"technology,":[6],"robotics":[7],"has":[8,30],"been":[9,32],"gradually":[10],"applied":[11],"to":[12,58,107,138],"all":[13],"aspects":[14],"economy":[17],"society,":[19],"path":[22,45,63,143],"planning":[23,46,144],"mobile":[25],"robots":[26],"in":[27,48,56],"complex":[28,49],"environments":[29],"always":[31],"a":[33,76],"research":[34],"hotspot":[35],"scholars":[37],"at":[38,43],"home":[39],"abroad.":[41],"Aiming":[42],"problem":[47],"unknown":[51],"environment":[52],"lacking":[53],"prior":[54],"knowledge,":[55],"order":[57],"improve":[59],"efficiency":[61],"planning,":[64],"this":[65],"paper":[66,74],"presents":[67],"an":[68],"adaptive":[69,80,85],"enhanced":[70],"exploration":[71,82,87],"algorithm.":[72],"This":[73],"proposes":[75],"Q-learning":[77],"algorithm":[78],"for":[79],"reinforcement":[81,86],"strategy.":[83],"The":[84],"strategy":[88],"first":[89],"introduces":[90],"concept":[92],"behavioral":[94,109],"utility":[95,110],"trace,":[96],"adjusts":[98],"probability":[100],"each":[102],"action":[103],"being":[104],"selected":[105],"according":[106],"trace.":[111],"Finally,":[112],"using":[113,118,132],"object-oriented":[115],"method,":[117],"Qt":[120],"platform":[122],"with":[123],"excellent":[124],"cross-platform":[125],"characteristics":[126],"under":[127],"Windows":[129],"system,":[130],"PyQt":[133],"Python":[135],"language":[136],"programming":[137],"design":[139,157],"implement":[141],"simulation":[145,150],"system.":[146],"After":[147],"testing,":[148],"system":[151],"works":[152],"well":[153],"meets":[155],"requirements.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
