{"id":"https://openalex.org/W3200075786","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533723","title":"Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation","display_name":"Joint Critics Mechanism: A Universal Framework for Multi-targets Visual Navigation","publication_year":2021,"publication_date":"2021-07-18","ids":{"openalex":"https://openalex.org/W3200075786","doi":"https://doi.org/10.1109/ijcnn52387.2021.9533723","mag":"3200075786"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn52387.2021.9533723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","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/A5079630680","display_name":"Wang Youzhuo","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wang Youzhuo","raw_affiliation_strings":["College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080918639","display_name":"Wenzhe Zhao","orcid":"https://orcid.org/0000-0002-5130-7219"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhao Wenzhe","raw_affiliation_strings":["College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032104477","display_name":"Tian Xia","orcid":"https://orcid.org/0000-0002-2520-3731"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xia","raw_affiliation_strings":["College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044243518","display_name":"Pengju Ren","orcid":"https://orcid.org/0000-0003-1163-2014"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengju Ren","raw_affiliation_strings":["College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5079630680"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05790061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7879643440246582},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7513203024864197},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5752583146095276},{"id":"https://openalex.org/keywords/universality","display_name":"Universality (dynamical systems)","score":0.552017867565155},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5429506301879883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5051079392433167},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46233057975769043},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4423609972000122},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4164026081562042},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.4147208333015442},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08130484819412231}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7879643440246582},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7513203024864197},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5752583146095276},{"id":"https://openalex.org/C183992945","wikidata":"https://www.wikidata.org/wiki/Q2495574","display_name":"Universality (dynamical systems)","level":2,"score":0.552017867565155},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5429506301879883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5051079392433167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46233057975769043},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4423609972000122},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4164026081562042},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.4147208333015442},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08130484819412231},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn52387.2021.9533723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn52387.2021.9533723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6577951179","display_name":null,"funder_award_id":"2019B010153003","funder_id":"https://openalex.org/F4320336405","funder_display_name":"Special Project for Research and Development in Key areas of Guangdong Province"},{"id":"https://openalex.org/G8667147361","display_name":null,"funder_award_id":"61773307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336405","display_name":"Special Project for Research and Development in Key areas of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W567721252","https://openalex.org/W2000146415","https://openalex.org/W2113243634","https://openalex.org/W2211874131","https://openalex.org/W2473930607","https://openalex.org/W2481567506","https://openalex.org/W2522340145","https://openalex.org/W2567015638","https://openalex.org/W2614839826","https://openalex.org/W2616430965","https://openalex.org/W2736601468","https://openalex.org/W2776202271","https://openalex.org/W2794752562","https://openalex.org/W2795911278","https://openalex.org/W2890354344","https://openalex.org/W2897007337","https://openalex.org/W2902544488","https://openalex.org/W2953384591","https://openalex.org/W2962887844","https://openalex.org/W2963293881","https://openalex.org/W2963523627","https://openalex.org/W2963946945","https://openalex.org/W2964001908","https://openalex.org/W2964043796","https://openalex.org/W3021931813","https://openalex.org/W4289242675","https://openalex.org/W4293566037","https://openalex.org/W4297795161","https://openalex.org/W4300799055","https://openalex.org/W6616173779","https://openalex.org/W6692846177","https://openalex.org/W6713134421","https://openalex.org/W6741002519","https://openalex.org/W6747106673","https://openalex.org/W6749880626","https://openalex.org/W6755355703","https://openalex.org/W6757177928"],"related_works":["https://openalex.org/W4388260134","https://openalex.org/W2351341309","https://openalex.org/W2359095791","https://openalex.org/W2364973163","https://openalex.org/W2370332065","https://openalex.org/W2375421581","https://openalex.org/W2352025053","https://openalex.org/W2386975405","https://openalex.org/W2501307252","https://openalex.org/W2360169511"],"abstract_inverted_index":{"Regarding":[0],"to":[1,17,77,98],"target-driven":[2],"visual":[3,71],"navigation":[4,34],"problem,":[5,40],"training":[6],"a":[7,19,36,46,67,122,126],"universal":[8,81],"value":[9,96],"function":[10,13,83],"or":[11],"policy":[12,82,105],"approximator":[14],"is":[15],"considered":[16],"be":[18],"fairly":[20],"difficult":[21],"task,":[22],"because":[23],"there":[24],"may":[25],"exits":[26],"potential":[27],"conflicts":[28],"among":[29],"different":[30],"targets.":[31,130],"When":[32],"modeling":[33],"as":[35],"goal-conditional":[37],"reinforcement":[38,58],"learning":[39,59,117],"the":[41,54,57,80,94,100,103,141,144],"algorithm":[42],"can":[43],"only":[44],"support":[45],"relatively":[47],"small":[48],"number":[49,128],"of":[50,56,102,116,129,148],"goals,":[51],"which":[52],"limits":[53],"universality":[55],"based":[60],"methods.":[61],"In":[62,110],"this":[63,111],"work,":[64],"we":[65,92,113,133],"proposed":[66,150],"framework":[68],"for":[69,107],"multi-targets":[70],"navigation,":[72],"termed":[73],"Joint":[74],"Critics":[75],"Mechanism,":[76],"better":[78,90,108,123],"train":[79],"approximator.":[84],"Recognizing":[85],"that":[86],"target-specific":[87,95],"network":[88,97,106],"has":[89],"convergence,":[91],"use":[93],"estimate":[99],"advantage":[101],"target-universal":[104],"convergence.":[109],"way,":[112],"avoid":[114],"complexity":[115],"competitive":[118],"targets":[119],"and":[120,140,146],"achieve":[121],"convergence":[124],"with":[125],"larger":[127],"For":[131],"evaluation,":[132],"conduct":[134],"experiments":[135],"in":[136],"realistic":[137],"simulation":[138],"environments":[139],"results":[142],"prove":[143],"rationality":[145],"effectiveness":[147],"our":[149],"framework.":[151]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}