Multi-task reinforcement learning with task representation method
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Cho, Myung-Sik | ko |
| dc.contributor.author | Jung, Whiyoung | ko |
| dc.contributor.author | Sung, Youngchul | ko |
| dc.date.accessioned | 2022-11-02T06:03:49Z | - |
| dc.date.available | 2022-11-02T06:03:49Z | - |
| dc.date.created | 2022-06-10 | - |
| dc.date.issued | 2022-04-29 | - |
| dc.identifier.citation | ICLR 2022 Workshop on Generalizable Policy Learning in Physical World | - |
| dc.identifier.uri | http://hdl.handle.net/10203/299263 | - |
| dc.language | English | - |
| dc.publisher | ICLR | - |
| dc.title | Multi-task reinforcement learning with task representation method | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | ICLR 2022 Workshop on Generalizable Policy Learning in Physical World | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Virtual | - |
| dc.contributor.localauthor | Sung, Youngchul | - |
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