{"id":"https://openalex.org/W4385453680","doi":"https://doi.org/10.1109/tnnls.2023.3296765","title":"AHEGC: Adaptive Hindsight Experience Replay With Goal-Amended Curiosity Module for Robot Control","display_name":"AHEGC: Adaptive Hindsight Experience Replay With Goal-Amended Curiosity Module for Robot Control","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385453680","doi":"https://doi.org/10.1109/tnnls.2023.3296765","pmid":"https://pubmed.ncbi.nlm.nih.gov/37527323"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3296765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3296765","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102967431","display_name":"Hongliang Zeng","orcid":null},"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":"Hongliang Zeng","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101544872","display_name":"Ping Zhang","orcid":"https://orcid.org/0000-0002-6238-7963"},"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":"Ping Zhang","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394185","display_name":"Fang Li","orcid":"https://orcid.org/0000-0002-4195-9475"},"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":"Fang Li","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041884675","display_name":"Chubin Lin","orcid":"https://orcid.org/0009-0001-0425-3262"},"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":"Chubin Lin","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089066223","display_name":"J. Zhou","orcid":"https://orcid.org/0000-0003-3520-740X"},"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":"Junkang Zhou","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102967431"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":1.9355,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85808277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"35","issue":"11","first_page":"16602","last_page":"16615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14308","display_name":"Psychological and Educational Research Studies","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9627000093460083,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hindsight-bias","display_name":"Hindsight bias","score":0.9481618404388428},{"id":"https://openalex.org/keywords/curiosity","display_name":"Curiosity","score":0.9245090484619141},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7109947204589844},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6565550565719604},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5752103328704834},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5436676144599915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392422080039978},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.49258095026016235},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4838777780532837},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.44547417759895325},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43156546354293823},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3982078433036804},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.390041708946228},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20386523008346558},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.19314217567443848},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11059743165969849},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11035233736038208}],"concepts":[{"id":"https://openalex.org/C10347200","wikidata":"https://www.wikidata.org/wiki/Q1960297","display_name":"Hindsight bias","level":2,"score":0.9481618404388428},{"id":"https://openalex.org/C33435437","wikidata":"https://www.wikidata.org/wiki/Q366791","display_name":"Curiosity","level":2,"score":0.9245090484619141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109947204589844},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6565550565719604},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5752103328704834},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5436676144599915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392422080039978},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.49258095026016235},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4838777780532837},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44547417759895325},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43156546354293823},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3982078433036804},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.390041708946228},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20386523008346558},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.19314217567443848},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11059743165969849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11035233736038208},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3296765","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3296765","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37527323","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37527323","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2000514530","https://openalex.org/W2141559645","https://openalex.org/W2145339207","https://openalex.org/W2158782408","https://openalex.org/W2161966552","https://openalex.org/W2201581102","https://openalex.org/W2605102758","https://openalex.org/W2626429629","https://openalex.org/W2766447205","https://openalex.org/W2885550588","https://openalex.org/W2890965997","https://openalex.org/W2963468355","https://openalex.org/W2963523627","https://openalex.org/W2963864421","https://openalex.org/W2969428710","https://openalex.org/W2979229105","https://openalex.org/W2995036248","https://openalex.org/W2999714443","https://openalex.org/W3000757491","https://openalex.org/W3026486560","https://openalex.org/W3081917349","https://openalex.org/W3114597659","https://openalex.org/W3131320743","https://openalex.org/W3133533407","https://openalex.org/W3134939669","https://openalex.org/W3182751084","https://openalex.org/W3198999478","https://openalex.org/W3205091198","https://openalex.org/W3207643345","https://openalex.org/W4285294350","https://openalex.org/W4293872189","https://openalex.org/W4298857966","https://openalex.org/W6616173779","https://openalex.org/W6631190155","https://openalex.org/W6637967152","https://openalex.org/W6638088447","https://openalex.org/W6650587873","https://openalex.org/W6683436435","https://openalex.org/W6683603353","https://openalex.org/W6684205842","https://openalex.org/W6684921986","https://openalex.org/W6687681856","https://openalex.org/W6716474083","https://openalex.org/W6717230150","https://openalex.org/W6730641667","https://openalex.org/W6740801417","https://openalex.org/W6747473740","https://openalex.org/W6748599296","https://openalex.org/W6748839928","https://openalex.org/W6753925943","https://openalex.org/W6754475338","https://openalex.org/W6755289019","https://openalex.org/W6758315252","https://openalex.org/W6780559895","https://openalex.org/W6782539135","https://openalex.org/W6922480057"],"related_works":["https://openalex.org/W3197854638","https://openalex.org/W3140454661","https://openalex.org/W4245029315","https://openalex.org/W2139970489","https://openalex.org/W1492315459","https://openalex.org/W1512434910","https://openalex.org/W3039898216","https://openalex.org/W2185422427","https://openalex.org/W2478680874","https://openalex.org/W3012552522"],"abstract_inverted_index":{"With":[0],"shaped":[1],"reward":[2,23,43,55,85,141],"functions,":[3],"reinforcement":[4],"learning":[5,212],"(RL)":[6],"has":[7],"recently":[8],"been":[9],"successfully":[10],"applied":[11],"to":[12,36,50,145,155,173],"several":[13],"robot":[14,190],"control":[15,191],"tasks.":[16],"However,":[17,95],"designing":[18],"a":[19,38,41,62,99,108,152,165,171],"task-relevant":[20],"and":[21,27,126,140,163,198,214],"well-performing":[22],"function":[24,56],"takes":[25],"time":[26],"effort.":[28],"Still,":[29],"if":[30],"RL":[31],"can":[32],"train":[33],"an":[34,47,130],"agent":[35],"complete":[37],"task":[39],"in":[40,83],"sparse":[42,84],"environment,":[44],"it":[45,59],"is":[46,60,143],"effective":[48],"way":[49],"address":[51,66],"the":[52,69,78,161,174,181,205],"difficulty":[53],"of":[54,80,134,160,176],"design,":[57],"but":[58],"still":[61,97],"significant":[63],"challenge.":[64],"To":[65],"this":[67,104],"issue,":[68],"pioneering":[70],"hindsight":[71,135],"experience":[72,136],"replay":[73],"(HER)":[74],"method":[75,207],"dramatically":[76],"enhances":[77],"probability":[79],"acquiring":[81],"skills":[82],"environments":[86],"by":[87,180],"transforming":[88],"unsuccessful":[89],"experiences":[90],"into":[91],"helpful":[92],"training":[93,101],"samples.":[94],"HER":[96,113,116],"requires":[98],"lengthy":[100],"period.":[102],"In":[103],"article,":[105],"we":[106,150],"propose":[107,164],"new":[109],"technique":[110],"based":[111],"on":[112,187],"termed":[114],"adaptive":[115,131],"with":[117,193],"goal-amended":[118,166],"curiosity":[119,153,168,182],"module":[120,169],"(AHEGC)":[121],"for":[122],"further":[123],"enhancing":[124],"sample":[125,147],"exploration":[127,159],"efficiency.":[128,148],"Specifically,":[129],"adjustment":[132],"strategy":[133],"(HE)":[137],"sampling":[138],"rate":[139],"weights":[142],"developed":[144],"enhance":[146],"Furthermore,":[149],"introduce":[151],"mechanism":[154],"encourage":[156],"more":[157],"efficient":[158],"environment":[162],"(GA)":[167],"as":[170],"solution":[172],"problem":[175],"over-seeking":[177],"novelty":[178],"caused":[179],"introduced.":[183],"We":[184],"conducted":[185],"experiments":[186],"six":[188],"demanding":[189],"tasks":[192],"binary":[194],"rewards,":[195],"including":[196],"Fetch":[197],"Hand":[199],"environments.":[200],"The":[201],"results":[202],"show":[203],"that":[204],"proposed":[206],"outperforms":[208],"existing":[209],"methods":[210],"regarding":[211],"ability":[213],"convergence":[215],"speed.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}