Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

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dc.contributor.authorChen, Liliko
dc.contributor.authorLee, Kiminko
dc.contributor.authorAravind Srinivasko
dc.contributor.authorPieter Abbeelko
dc.date.accessioned2024-01-29T08:00:27Z-
dc.date.available2024-01-29T08:00:27Z-
dc.date.created2024-01-29-
dc.date.issued2021-12-
dc.identifier.citation35th Conference on Neural Information Processing Systems (NeurIPS)-
dc.identifier.urihttp://hdl.handle.net/10203/317950-
dc.publisherNeural Information Processing Systems Foundation-
dc.titleImproving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname35th Conference on Neural Information Processing Systems (NeurIPS)-
dc.identifier.conferencecountryUS-
dc.contributor.localauthorLee, Kimin-
dc.contributor.nonIdAuthorChen, Lili-
dc.contributor.nonIdAuthorAravind Srinivas-
dc.contributor.nonIdAuthorPieter Abbeel-
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AI-Conference Papers(학술대회논문)
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