Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
Deep cooperative multi-agent reinforcement learning has demonstrated its remarkable success over a wide spectrum of complex control tasks. However, recent advances in multi-agent learning mainly focus on value decomposition while leaving entity interactions still intertwined, which easily leads to o...
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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 46(2024), 12 vom: 05. Nov., Seite 8157-8172
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| 1. Verfasser: |
Liu, Shunyu
(VerfasserIn) |
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| Weitere Verfasser: |
Song, Jie,
Zhou, Yihe,
Yu, Na,
Chen, Kaixuan,
Feng, Zunlei,
Song, Mingli |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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