Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 221
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorLee, Suyoungko
dc.contributor.authorChung, Sae-Youngko
dc.date.accessioned2021-11-09T06:45:05Z-
dc.date.available2021-11-09T06:45:05Z-
dc.date.created2021-10-25-
dc.date.created2021-10-25-
dc.date.created2021-10-25-
dc.date.issued2021-12-08-
dc.identifier.citationThirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)-
dc.identifier.urihttp://hdl.handle.net/10203/288992-
dc.languageEnglish-
dc.publisherAdvances in Neural Information Processing Systems-
dc.titleImproving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationnameThirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021)-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationVirtual-
dc.contributor.localauthorChung, Sae-Young-
dc.contributor.nonIdAuthorLee, Suyoung-
Appears in Collection
EE-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0