Deep Reinforcement Learning-based Channel-flexible Equalization Scheme: An Application to High Bandwidth Memory
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Choi, Seonguk | ko |
| dc.contributor.author | Kim, Joungho | ko |
| dc.contributor.author | Park, Hyunwook | ko |
| dc.contributor.author | Kim, Haeyeon | ko |
| dc.contributor.author | Park, Joonsang | ko |
| dc.contributor.author | Son, Keeyoung | ko |
| dc.contributor.author | Kim, SeongGuk | ko |
| dc.contributor.author | Kim, Keunwoo | ko |
| dc.contributor.author | Lho, Daehwan | ko |
| dc.contributor.author | Yoon, Jiwon | ko |
| dc.contributor.author | Song, Jinwook | ko |
| dc.date.accessioned | 2023-02-02T23:00:26Z | - |
| dc.date.available | 2023-02-02T23:00:26Z | - |
| dc.date.created | 2023-01-25 | - |
| dc.date.created | 2023-01-25 | - |
| dc.date.issued | 2022-04-07 | - |
| dc.identifier.citation | DesignCon 2022 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/304977 | - |
| dc.language | English | - |
| dc.publisher | DesignCon | - |
| dc.title | Deep Reinforcement Learning-based Channel-flexible Equalization Scheme: An Application to High Bandwidth Memory | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | DesignCon 2022 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | Santa Clara Convention Center | - |
| dc.contributor.localauthor | Kim, Joungho | - |
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