{"id":"https://openalex.org/W3198612427","doi":"https://doi.org/10.1145/3460569.3460573","title":"Applying Soft Attention in Deep Reinforcement Learning for Robot Collision Avoidance","display_name":"Applying Soft Attention in Deep Reinforcement Learning for Robot Collision Avoidance","publication_year":2021,"publication_date":"2021-03-19","ids":{"openalex":"https://openalex.org/W3198612427","doi":"https://doi.org/10.1145/3460569.3460573","mag":"3198612427"},"language":"en","primary_location":{"id":"doi:10.1145/3460569.3460573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460569.3460573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101814011","display_name":"Pei Xu","orcid":"https://orcid.org/0000-0003-1766-5634"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pei Xu","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006045871","display_name":"Guangda Chen","orcid":"https://orcid.org/0000-0003-1888-9947"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"GuangDa Chen","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061104105","display_name":"Jianmin Ji","orcid":"https://orcid.org/0000-0002-1515-0402"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Ji","raw_affiliation_strings":["University of Science and Technology of China, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11361502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2018","issue":null,"first_page":"34","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9997000098228455,"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9718999862670898,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/china","display_name":"China","score":0.8479311466217041},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6897451877593994},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.6674853563308716},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5465285181999207},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48451560735702515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43232083320617676},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.40013301372528076},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3350157141685486},{"id":"https://openalex.org/keywords/library-science","display_name":"Library science","score":0.30830496549606323},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23364096879959106},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.19433104991912842},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.07277247309684753}],"concepts":[{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.8479311466217041},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6897451877593994},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.6674853563308716},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5465285181999207},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48451560735702515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43232083320617676},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.40013301372528076},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3350157141685486},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.30830496549606323},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23364096879959106},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.19433104991912842},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.07277247309684753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460569.3460573","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3460569.3460573","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Mathematics and Artificial Intelligence","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":9,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W2064675550","https://openalex.org/W2145339207","https://openalex.org/W2296073425","https://openalex.org/W2549200707","https://openalex.org/W2573311857","https://openalex.org/W2768393699","https://openalex.org/W2964043796","https://openalex.org/W6602539713"],"related_works":["https://openalex.org/W4317634134","https://openalex.org/W2981729160","https://openalex.org/W4310743282","https://openalex.org/W2350270224","https://openalex.org/W2354620178","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W3163022373","https://openalex.org/W2742483371","https://openalex.org/W3005999311"],"abstract_inverted_index":{"research-article":[0],"Share":[1],"on":[2,84,136],"Applying":[3],"Soft":[4],"Attention":[5],"in":[6,145],"Deep":[7],"Reinforcement":[8],"Learning":[9],"for":[10],"Robot":[11],"Collision":[12],"Avoidance":[13],"Authors:":[14],"Pei":[15],"Xu":[16],"University":[17,25,37,45,57,65],"of":[18,22,26,30,38,42,46,50,58,62,66,70],"Science":[19,27,39,47,59,67],"and":[20,28,40,48,60,68,86,113],"Technology":[21,29,41,49,61,69],"China,":[23,31,43,51,63,71],"China":[24,44,64],"ChinaView":[32,52,72],"Profile":[33,53,73],",":[34,54],"GuangDa":[35],"Chen":[36],"Jianmin":[55],"Ji":[56],"Authors":[74],"Info":[75],"&":[76],"Claims":[77],"ICMAI":[78],"2021:":[79],"2021":[80,89],"6th":[81],"International":[82],"Conference":[83],"Mathematics":[85],"Artificial":[87],"IntelligenceMarch":[88],"Pages":[90],"34\u201338https://doi.org/10.1145/3460569.3460573Online:31":[91],"August":[92],"2021Publication":[93],"History":[94],"0citation70DownloadsMetricsTotal":[95],"Citations0Total":[96],"Downloads70Last":[97],"12":[98],"Months70Last":[99],"6":[100],"weeks10":[101],"Get":[102],"Citation":[103,105,142],"AlertsNew":[104,141],"Alert":[106],"added!This":[107],"alert":[108,133],"has":[109,128],"been":[110,129],"successfully":[111],"added":[112],"will":[114,118],"be":[115,119],"sent":[116],"to:You":[117],"notified":[120],"whenever":[121],"a":[122,154],"record":[123],"that":[124],"you":[125],"have":[126],"chosen":[127],"cited.To":[130],"manage":[131],"your":[132,147],"preferences,":[134],"click":[135],"the":[137],"button":[138],"below.Manage":[139],"my":[140],"Alert!Please":[143],"log":[144],"to":[146,150,152],"account":[148],"Save":[149],"BinderSave":[151],"BinderCreate":[153],"New":[155],"BinderNameCancelCreateExport":[156],"CitationPublisher":[157],"SiteGet":[158],"Access":[159]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
