{"id":"https://openalex.org/W4403363382","doi":"https://doi.org/10.48550/arxiv.2410.06648","title":"Q-WSL:Leveraging Dynamic Programming for Weighted Supervised Learning in\n Goal-conditioned RL","display_name":"Q-WSL:Leveraging Dynamic Programming for Weighted Supervised Learning in\n Goal-conditioned RL","publication_year":2024,"publication_date":"2024-10-09","ids":{"openalex":"https://openalex.org/W4403363382","doi":"https://doi.org/10.48550/arxiv.2410.06648"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.06648","pdf_url":"http://arxiv.org/pdf/2410.06648","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2410.06648","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100381484","display_name":"Lei Xing","orcid":"https://orcid.org/0000-0003-2536-5359"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Xing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101442813","display_name":"Xuetao Zhang","orcid":"https://orcid.org/0000-0001-5460-8036"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xuetao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034760558","display_name":"Zifeng Zhuang","orcid":"https://orcid.org/0009-0008-2667-6099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuang, Zifeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665178","display_name":"Donglin Wang","orcid":"https://orcid.org/0000-0002-5428-5596"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Donglin","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9762,"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":0.9762,"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/goal-programming","display_name":"Goal programming","score":0.5670312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460678},{"id":"https://openalex.org/C61157135","wikidata":"https://www.wikidata.org/wiki/Q1345279","display_name":"Goal programming","level":2,"score":0.5670312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.520676},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4857107},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47181714},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.4556435},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.19818312},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13064641},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09289527}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.06648","pdf_url":"http://arxiv.org/pdf/2410.06648","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.06648","pdf_url":"http://arxiv.org/pdf/2410.06648","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4394896187","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4306674287","https://openalex.org/W4283697347","https://openalex.org/W3170094116","https://openalex.org/W3107602296","https://openalex.org/W3046775127","https://openalex.org/W2961085424"],"abstract_inverted_index":{"A":[0],"novel":[1,129],"class":[2],"of":[3,37,136,142,158,174,203],"advanced":[4],"algorithms,":[5],"termed":[6],"Goal-Conditioned":[7],"Weighted":[8,124],"Supervised":[9,125],"Learning":[10,126],"(GCWSL),":[11],"has":[12],"recently":[13],"emerged":[14],"to":[15,41,110,132,153],"tackle":[16],"the":[17,78,111,134,140,155,166,172],"challenges":[18],"posed":[19],"by":[20,138,217],"sparse":[21],"rewards":[22],"in":[23,114,146,201,214],"goal-conditioned":[24,199],"reinforcement":[25],"learning":[26,62],"(RL).":[27],"GCWSL":[28,48,137],"consistently":[29],"delivers":[30],"strong":[31],"performance":[32,205],"across":[33,162],"a":[34,51,128],"diverse":[35],"set":[36],"goal-reaching":[38,192],"tasks":[39,193],"due":[40,109],"its":[42],"simplicity,":[43],"effectiveness,":[44],"and":[45,177,184,206,221],"stability.":[46],"However,":[47],"methods":[49],"lack":[50],"crucial":[52],"capability":[53],"known":[54],"as":[55,94],"trajectory":[56],"stitching,":[57],"which":[58,96],"is":[59,81],"essential":[60],"for":[61],"optimal":[63,156],"policies":[64],"when":[65,77],"faced":[66],"with":[67,84],"unseen":[68],"skills":[69],"during":[70],"testing.":[71],"This":[72,169],"limitation":[73],"becomes":[74],"particularly":[75],"pronounced":[76],"replay":[79,167],"buffer":[80],"predominantly":[82],"filled":[83],"sub-optimal":[85],"trajectories.":[86],"In":[87,118],"contrast,":[88],"traditional":[89],"TD-based":[90],"RL":[91],"methods,":[92],"such":[93],"Q-learning,":[95],"utilize":[97],"Dynamic":[98,143,150],"Programming,":[99],"do":[100],"not":[101],"face":[102],"this":[103,119],"issue":[104],"but":[105],"often":[106],"experience":[107],"instability":[108],"inherent":[112],"difficulties":[113],"value":[115],"function":[116],"approximation.":[117],"paper,":[120],"we":[121],"propose":[122],"Q-learning":[123,176],"(Q-WSL),":[127],"framework":[130],"designed":[131],"overcome":[133],"limitations":[135],"incorporating":[139],"strengths":[141,173],"Programming":[144,151],"found":[145],"Q-learning.":[147],"Q-WSL":[148,196,210],"leverages":[149],"results":[152],"output":[154],"action":[157],"(state,":[159],"goal)":[160],"pairs":[161],"different":[163],"trajectories":[164],"within":[165],"buffer.":[168],"approach":[170],"synergizes":[171],"both":[175,204],"GCWSL,":[178],"effectively":[179],"mitigating":[180],"their":[181],"respective":[182],"weaknesses":[183],"enhancing":[185],"overall":[186],"performance.":[187],"Empirical":[188],"evaluations":[189],"on":[190],"challenging":[191],"demonstrate":[194],"that":[195],"surpasses":[197],"other":[198],"approaches":[200],"terms":[202],"sample":[207],"efficiency.":[208],"Additionally,":[209],"exhibits":[211],"notable":[212],"robustness":[213],"environments":[215],"characterized":[216],"binary":[218],"reward":[219],"structures":[220],"environmental":[222],"stochasticity.":[223]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403363382","counts_by_year":[],"updated_date":"2024-12-24T01:59:25.890791","created_date":"2024-10-13"}