{"id":"https://openalex.org/W2955916649","doi":"https://doi.org/10.1109/access.2019.2927028","title":"Transferable Environment Model With Disentangled Dynamics","display_name":"Transferable Environment Model With Disentangled Dynamics","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2955916649","doi":"https://doi.org/10.1109/access.2019.2927028","mag":"2955916649"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2927028","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927028","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755923.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755923.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100683124","display_name":"Qi Yan","orcid":"https://orcid.org/0000-0002-1633-2320"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Yan","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048321911","display_name":"Shangqi Guo","orcid":"https://orcid.org/0000-0003-3181-6881"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangqi Guo","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103019021","display_name":"Dagui Chen","orcid":"https://orcid.org/0000-0003-0850-8231"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dagui Chen","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107229776","display_name":"Zhile Yang","orcid":"https://orcid.org/0000-0002-7908-9524"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhile Yang","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing Innovation Center for Future Chip, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100352754","display_name":"Feng Chen","orcid":"https://orcid.org/0000-0003-4813-2494"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Chen","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","LSBDPA Beijing Key Laboratory, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4813-2494","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"LSBDPA Beijing Key Laboratory, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2824,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64943895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"106848","last_page":"106860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9979000091552734,"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":0.9979000091552734,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9957000017166138,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9939000010490417,"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/computer-science","display_name":"Computer science","score":0.8287405967712402},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.6908060312271118},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6717833280563354},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6151406764984131},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5822284817695618},{"id":"https://openalex.org/keywords/futures-studies","display_name":"Futures studies","score":0.576579213142395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5028523802757263},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.43886905908584595}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8287405967712402},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.6908060312271118},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6717833280563354},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6151406764984131},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5822284817695618},{"id":"https://openalex.org/C64848388","wikidata":"https://www.wikidata.org/wiki/Q188867","display_name":"Futures studies","level":2,"score":0.576579213142395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5028523802757263},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.43886905908584595},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2927028","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927028","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755923.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:849a9c40d7074f4d97ac3aa34aa15fac","is_oa":false,"landing_page_url":"https://doaj.org/article/849a9c40d7074f4d97ac3aa34aa15fac","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 106848-106860 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2927028","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927028","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755923.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4300000071525574}],"awards":[{"id":"https://openalex.org/G6940069345","display_name":null,"funder_award_id":"20161080084","funder_id":"https://openalex.org/F4320322392","funder_display_name":"Tsinghua University"},{"id":"https://openalex.org/G7861851748","display_name":"\u901a\u7528\u7c7b\u8111\u8ba1\u7b97\u67b6\u6784\u6a21\u578b\u4e0e\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61836004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8260862593","display_name":"\u57fa\u4e8e\u6982\u7387\u56fe\u6a21\u578b\u7684\u5927\u89c4\u6a21\u89c6\u89c9\u76ae\u5c42\u8109\u51b2\u795e\u7ecf\u7f51\u7edc\u8ba1\u7b97\u673a\u7406\u7814\u7a76","funder_award_id":"61671266","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/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2955916649.pdf","grobid_xml":"https://content.openalex.org/works/W2955916649.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W779494576","https://openalex.org/W834081922","https://openalex.org/W1565327149","https://openalex.org/W1722318740","https://openalex.org/W1957496711","https://openalex.org/W1959608418","https://openalex.org/W1987150989","https://openalex.org/W1994618660","https://openalex.org/W2081030963","https://openalex.org/W2109995759","https://openalex.org/W2110292307","https://openalex.org/W2112483970","https://openalex.org/W2115403315","https://openalex.org/W2115699968","https://openalex.org/W2118688707","https://openalex.org/W2128053425","https://openalex.org/W2129202194","https://openalex.org/W2145339207","https://openalex.org/W2149466042","https://openalex.org/W2150468603","https://openalex.org/W2158282517","https://openalex.org/W2165698076","https://openalex.org/W2175030374","https://openalex.org/W2185087676","https://openalex.org/W2214409633","https://openalex.org/W2281096776","https://openalex.org/W2560647685","https://openalex.org/W2562192638","https://openalex.org/W2567374473","https://openalex.org/W2586134104","https://openalex.org/W2606047872","https://openalex.org/W2751158183","https://openalex.org/W2786969620","https://openalex.org/W2806984819","https://openalex.org/W2950471160","https://openalex.org/W2962793481","https://openalex.org/W2962851930","https://openalex.org/W2962947361","https://openalex.org/W2963226019","https://openalex.org/W2963523627","https://openalex.org/W2963634205","https://openalex.org/W2963871073","https://openalex.org/W2964043796","https://openalex.org/W3021208093","https://openalex.org/W4214717370","https://openalex.org/W4245108548","https://openalex.org/W4293396018","https://openalex.org/W4297744728","https://openalex.org/W4297789121","https://openalex.org/W4298857966","https://openalex.org/W4300590963","https://openalex.org/W6622487243","https://openalex.org/W6623316541","https://openalex.org/W6633949838","https://openalex.org/W6637967152","https://openalex.org/W6640963894","https://openalex.org/W6677245018","https://openalex.org/W6677477928","https://openalex.org/W6681637710","https://openalex.org/W6683084483","https://openalex.org/W6685316221","https://openalex.org/W6692405165","https://openalex.org/W6692846177","https://openalex.org/W6696324988","https://openalex.org/W6718140377","https://openalex.org/W6730623217","https://openalex.org/W6731227521","https://openalex.org/W6733310096","https://openalex.org/W6734074887","https://openalex.org/W6736803224","https://openalex.org/W6740836278","https://openalex.org/W6741519989","https://openalex.org/W6741977017","https://openalex.org/W6747607884","https://openalex.org/W6751907932","https://openalex.org/W6752110724","https://openalex.org/W6752118638","https://openalex.org/W6780225908"],"related_works":["https://openalex.org/W4390453990","https://openalex.org/W2370236282","https://openalex.org/W3156023083","https://openalex.org/W2292601982","https://openalex.org/W3164313706","https://openalex.org/W1995047307","https://openalex.org/W2118564637","https://openalex.org/W4388907197","https://openalex.org/W4289718052","https://openalex.org/W4320853675"],"abstract_inverted_index":{"Foresight":[0],"is":[1,16,114,140],"a":[2,12,57,86,91,120,145],"manifestation":[3],"of":[4,122,135],"human-level":[5],"intelligence.":[6],"In":[7,52,90],"model-based":[8],"reinforcement":[9],"learning,":[10],"obtaining":[11],"perfect":[13],"environment":[14,32,63],"model":[15,60,64,76,99,147],"essential":[17],"and":[18,70,83],"significant.":[19],"Although":[20],"recent":[21],"research":[22],"has":[23,100],"achieved":[24],"impressive":[25],"advances":[26],"in":[27,104],"improving":[28],"prediction":[29],"accuracy,":[30],"existing":[31],"models":[33],"are":[34],"unable":[35],"to":[36,77,116,119,143,151],"generalize":[37],"well":[38],"across":[39,153],"environments,":[40],"mainly":[41],"because":[42],"appearance-independent":[43],"dynamics":[44],"learning":[45],"completely":[46],"relies":[47],"on":[48],"appearance-specific":[49],"representation":[50,69],"learning.":[51],"this":[53,138],"paper,":[54],"we":[55,95],"propose":[56],"novel":[58],"predictive":[59,146],"named":[61],"transferable":[62],"(TEM)":[65],"which":[66],"disentangles":[67],"state":[68],"dynamics.":[71,89],"The":[72],"disentanglement":[73],"allows":[74],"the":[75,112,127,133,141,149],"deal":[78],"with":[79,107,148],"different":[80],"observation":[81],"distributions":[82],"meanwhile":[84],"share":[85],"cross-environment":[87],"latent":[88],"3D":[92],"visual":[93],"platform,":[94],"show":[96],"that":[97],"our":[98,136],"good":[101],"generalization":[102],"performance":[103],"target":[105,123],"environments":[106,124],"very":[108],"few":[109],"data.":[110],"Furthermore,":[111],"TEM":[113],"able":[115],"continually":[117],"adapt":[118],"sequence":[121],"without":[125],"forgetting":[126],"knowledge":[128],"for":[129],"previous":[130],"environments.":[131,155],"To":[132],"best":[134],"knowledge,":[137],"paper":[139],"first":[142],"endow":[144],"ability":[150],"work":[152],"multiple":[154]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
