{"id":"https://openalex.org/W4391940753","doi":"https://doi.org/10.48550/arxiv.2402.10450","title":"PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control","display_name":"PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control","publication_year":2024,"publication_date":"2024-02-16","ids":{"openalex":"https://openalex.org/W4391940753","doi":"https://doi.org/10.48550/arxiv.2402.10450"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2402.10450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.10450","pdf_url":"https://arxiv.org/pdf/2402.10450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2402.10450","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013554787","display_name":"Ruijie Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zheng, Ruijie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101825910","display_name":"Ching-An Cheng","orcid":"https://orcid.org/0000-0002-0610-2070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Ching-An","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019928111","display_name":"Hal Daum\u00e9","orcid":"https://orcid.org/0000-0002-3760-345X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daum\u00e9, Hal","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091135797","display_name":"Furong Huang","orcid":"https://orcid.org/0000-0001-8760-439X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Furong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862316","display_name":"Andrey Kolobov","orcid":"https://orcid.org/0000-0003-4966-7466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kolobov, Andrey","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013554787"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9922999739646912,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9922999739646912,"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/T12031","display_name":"Speech and dialogue systems","score":0.9646999835968018,"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/T11309","display_name":"Music and Audio Processing","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sequence","display_name":"Sequence (biology)","score":0.7511534690856934},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7418323755264282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6505811214447021},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4737176299095154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3841142952442169},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0662401020526886}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.7511534690856934},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7418323755264282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6505811214447021},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4737176299095154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3841142952442169},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0662401020526886},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2402.10450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.10450","pdf_url":"https://arxiv.org/pdf/2402.10450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2402.10450","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2402.10450","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2402.10450","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2402.10450","pdf_url":"https://arxiv.org/pdf/2402.10450","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G4161730871","display_name":"MPS-BIO: Collaborative Research: Physical Mechanisms Regulating Sperm Chemotaxis","funder_award_id":"1120200","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4717202193","display_name":null,"funder_award_id":"HR0011202000","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G4720003262","display_name":null,"funder_award_id":"N00014-22","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G5702281522","display_name":"FAI: Toward Fair Decision Making and Resource Allocation with Application to AI-Assisted Graduate Admission and Degree Completion","funder_award_id":"2147276","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6098521345","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G6509229697","display_name":null,"funder_award_id":"IIS-2147276 FAI","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7437616762","display_name":null,"funder_award_id":"HR00112020007","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391940753.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Temporal":[0],"action":[1,30,88,95],"abstractions,":[2],"along":[3],"with":[4,90],"belief":[5],"state":[6],"representations,":[7],"are":[8],"a":[9,23,33,42,107],"powerful":[10,94],"knowledge":[11],"sharing":[12],"mechanism":[13],"for":[14],"sequential":[15],"decision":[16],"making.":[17],"In":[18],"this":[19],"work,":[20],"we":[21,40],"propose":[22],"novel":[24],"view":[25],"that":[26,85,100],"treats":[27],"inducing":[28],"temporal":[29],"abstractions":[31],"as":[32,123,125],"sequence":[34],"compression":[35],"problem.":[36],"To":[37],"do":[38],"so,":[39],"bring":[41],"subtle":[43],"but":[44],"critical":[45],"component":[46],"of":[47,65,68,110,118],"LLM":[48],"training":[49],"pipelines":[50],"--":[51,59],"input":[52],"tokenization":[53],"via":[54],"byte":[55],"pair":[56],"encoding":[57],"(BPE)":[58],"to":[60,92],"the":[61,116],"seemingly":[62],"distant":[63],"task":[64],"learning":[66,122,128],"skills":[67,102],"variable":[69],"time":[70],"span":[71],"in":[72],"continuous":[73,87],"control":[74],"domains.":[75],"We":[76,97],"introduce":[77],"an":[78],"approach":[79],"called":[80],"Primitive":[81],"Sequence":[82],"Encoding":[83],"(PRISE)":[84],"combines":[86],"quantization":[89],"BPE":[91],"learn":[93],"abstractions.":[96],"empirically":[98],"show":[99],"high-level":[101],"discovered":[103],"by":[104],"PRISE":[105],"from":[106],"multitask":[108,120],"set":[109],"robotic":[111],"manipulation":[112],"demonstrations":[113],"significantly":[114],"boost":[115],"performance":[117],"both":[119],"imitation":[121,127],"well":[124],"few-shot":[126],"on":[129],"unseen":[130],"tasks.":[131],"Our":[132],"code":[133],"is":[134],"released":[135],"at":[136],"https://github.com/FrankZheng2022/PRISE.":[137]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2024-02-20T00:00:00"}
