Toward Effective Deep Reinforcement Learning for 3D Robotic Manipulation: Multimodal End-to-End Reinforcement Learning from Visual and Proprioceptive Feedback
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Noh, Samyeul | ko |
| dc.contributor.author | Myung, Hyun | ko |
| dc.date.accessioned | 2023-07-19T07:02:15Z | - |
| dc.date.available | 2023-07-19T07:02:15Z | - |
| dc.date.created | 2023-07-19 | - |
| dc.date.created | 2023-07-19 | - |
| dc.date.created | 2023-07-19 | - |
| dc.date.issued | 2022-12-09 | - |
| dc.identifier.citation | 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Workshop | - |
| dc.identifier.uri | http://hdl.handle.net/10203/310658 | - |
| dc.language | English | - |
| dc.publisher | IEEE | - |
| dc.title | Toward Effective Deep Reinforcement Learning for 3D Robotic Manipulation: Multimodal End-to-End Reinforcement Learning from Visual and Proprioceptive Feedback | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Workshop | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | New Orleans Convention Center | - |
| dc.contributor.localauthor | Myung, Hyun | - |
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