MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/conf/icml/Li0RPZYL21
Home
|
Example Publications
Property
Value
dcterms:
bibliographicCitation
<
http://dblp.uni-trier.de/rec/bibtex/conf/icml/Li0RPZYL21
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Abhishek_Gupta_0004
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Ashwin_Reddy
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Aurick_Zhou
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Justin_Yu
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Kevin_Li
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Sergey_Levine
>
dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Vitchyr_H._Pong
>
foaf:
homepage
<
http://proceedings.mlr.press/v139/li21g.html
>
dc:
identifier
DBLP conf/icml/Li0RPZYL21
(xsd:string)
dcterms:
issued
2021
(xsd:gYear)
rdfs:
label
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Abhishek_Gupta_0004
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Ashwin_Reddy
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Aurick_Zhou
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Justin_Yu
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Kevin_Li
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Sergey_Levine
>
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Vitchyr_H._Pong
>
swrc:
pages
6346-6356
(xsd:string)
dcterms:
partOf
<
https://dblp.l3s.de/d2r/resource/publications/conf/icml/2021
>
owl:
sameAs
<
http://bibsonomy.org/uri/bibtexkey/conf/icml/Li0RPZYL21/dblp
>
owl:
sameAs
<
http://dblp.rkbexplorer.com/id/conf/icml/Li0RPZYL21
>
rdfs:
seeAlso
<
http://dblp.uni-trier.de/db/conf/icml/icml2021.html#Li0RPZYL21
>
rdfs:
seeAlso
<
http://proceedings.mlr.press/v139/li21g.html
>
swrc:
series
<
https://dblp.l3s.de/d2r/resource/conferences/icml
>
dc:
title
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.
(xsd:string)
dc:
type
<
http://purl.org/dc/dcmitype/Text
>
rdf:
type
swrc:InProceedings
rdf:
type
foaf:Document