SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Jianhong | ko |
| dc.contributor.author | Wang, Jinxin | ko |
| dc.contributor.author | Zhang, Yuan | ko |
| dc.contributor.author | Gu, Yunjie | ko |
| dc.contributor.author | Kim, Tae-Kyun | ko |
| dc.date.accessioned | 2022-11-22T02:00:42Z | - |
| dc.date.available | 2022-11-22T02:00:42Z | - |
| dc.date.created | 2022-11-12 | - |
| dc.date.created | 2022-11-12 | - |
| dc.date.issued | 2022-11-30 | - |
| dc.identifier.citation | 36th Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/300413 | - |
| dc.language | English | - |
| dc.publisher | NeurIPS | - |
| dc.title | SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 36th Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | The New Orleans Convention Center | - |
| dc.contributor.localauthor | Kim, Tae-Kyun | - |
| dc.contributor.nonIdAuthor | Wang, Jianhong | - |
| dc.contributor.nonIdAuthor | Wang, Jinxin | - |
| dc.contributor.nonIdAuthor | Zhang, Yuan | - |
| dc.contributor.nonIdAuthor | Gu, Yunjie | - |
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