{"id":"https://openalex.org/W4405469858","doi":"https://doi.org/10.48550/arxiv.2412.11253","title":"Are Expressive Models Truly Necessary for Offline RL?","display_name":"Are Expressive Models Truly Necessary for Offline RL?","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4405469858","doi":"https://doi.org/10.48550/arxiv.2412.11253"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2412.11253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11253","pdf_url":"https://arxiv.org/pdf/2412.11253","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/2412.11253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056859765","display_name":"Guan Wang","orcid":"https://orcid.org/0000-0003-1973-2044"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Wang, Guan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Niu, Haoyi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Niu, Haoyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100759593","display_name":"Jianxiong Li","orcid":"https://orcid.org/0000-0003-3983-7679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jianxiong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115505609","display_name":"Li Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037301357","display_name":"Juwei Hu","orcid":"https://orcid.org/0000-0003-4837-3116"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Jianming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052921346","display_name":"Xianyuan Zhan","orcid":"https://orcid.org/0000-0002-3683-0554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhan, Xianyuan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5056859765"],"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9344000220298767,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9344000220298767,"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":0.6069827079772949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069827079772949}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2412.11253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11253","pdf_url":"https://arxiv.org/pdf/2412.11253","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2412.11253","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.11253","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:2412.11253","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.11253","pdf_url":"https://arxiv.org/pdf/2412.11253","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4676232784","display_name":null,"funder_award_id":"62333015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6582213310","display_name":null,"funder_award_id":"2022YFB2502904","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8772652977","display_name":null,"funder_award_id":"L231014","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405469858.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Among":[0],"various":[1],"branches":[2],"of":[3,37,84],"offline":[4,21],"reinforcement":[5],"learning":[6,11,39],"(RL)":[7],"methods,":[8,182],"goal-conditioned":[9,146],"supervised":[10],"(GCSL)":[12],"has":[13,70],"gained":[14],"increasing":[15],"popularity":[16],"as":[17,24,99,101],"it":[18],"formulates":[19],"the":[20,31,82,142,188],"RL":[22,42],"problem":[23],"a":[25,72,123,145],"sequential":[26,114],"modeling":[27,115],"task,":[28],"therefore":[29],"bypassing":[30],"notoriously":[32],"difficult":[33],"credit":[34],"assignment":[35],"challenge":[36],"value":[38],"in":[40,54,75,192],"conventional":[41],"paradigm.":[43],"Sequential":[44],"modeling,":[45],"however,":[46,79],"requires":[47],"capturing":[48],"accurate":[49,108],"dynamics":[50,109],"across":[51],"long":[52],"horizons":[53],"trajectory":[55],"data":[56,150],"to":[57,174],"ensure":[58],"reasonable":[59],"policy":[60,147],"performance.":[61],"To":[62],"meet":[63],"this":[64],"requirement,":[65],"leveraging":[66],"large,":[67],"expressive":[68,119],"models":[69,98,120],"become":[71],"popular":[73],"choice":[74],"recent":[76],"literature,":[77],"which,":[78],"comes":[80],"at":[81],"cost":[83],"significantly":[85,112],"increased":[86],"computation":[87],"and":[88,111,136,139,178],"inference":[89],"latency.":[90],"Contradictory":[91],"yet":[92,166],"promising,":[93],"we":[94],"reveal":[95],"that":[96],"lightweight":[97,176],"simple":[100,124],"shallow":[102],"2-layer":[103],"MLPs,":[104],"can":[105],"also":[106],"enjoy":[107],"consistency":[110],"reduced":[113],"errors":[116],"against":[117],"large":[118],"by":[121],"adopting":[122],"recursive":[125],"planning":[126,129],"scheme:":[127],"recursively":[128],"coarse-grained":[130],"future":[131],"sub-goals":[132],"based":[133],"on":[134,187],"current":[135],"target":[137],"information,":[138],"then":[140],"executes":[141],"action":[143],"with":[144,152],"learned":[148],"from":[149],"rela-beled":[151],"these":[153],"sub-goal":[154],"ground":[155],"truths.":[156],"We":[157],"term":[158],"our":[159],"method":[160],"Recursive":[161],"Skip-Step":[162],"Planning":[163],"(RSP).":[164],"Simple":[165],"effective,":[167],"RSP":[168],"enjoys":[169],"great":[170],"efficiency":[171],"improvements":[172],"thanks":[173],"its":[175],"structure,":[177],"substantially":[179],"outperforms":[180],"existing":[181],"reaching":[183],"new":[184],"SOTA":[185],"performances":[186],"D4RL":[189],"benchmark,":[190],"especially":[191],"multi-stage":[193],"long-horizon":[194],"tasks.":[195]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}