Research map / Multi-agent systems and games / Cooperative multi-agent RL
Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add CIA to QMIX | QMIX · SMAC 10m_vs_11m | test win rate: 0.89 -> 0.95 | Helped |
| Add CIA to QMIX | QMIX · SMAC 2c_vs_64zg | test win rate: 0.91 -> 0.95 | Helped |
| Add CIA to QMIX | QMIX · SMAC 7sz | test win rate: 0.33 -> 0.29 | Hurt |
| Add CIA to QMIX | QMIX · SMAC 6h_vs_8z | test win rate: 0.36 -> 0.49 | Helped |
| Add CIA to QMIX | QMIX · SMAC corridor | test win rate: 0.58 -> 0.80 | Helped |
| Add CIA to QMIX | QMIX · SMAC 3s5z_vs_3s6z | test win rate: 0.38 -> 0.87 | Helped |
| Replace CIA loss with credit classification loss (CC loss) (ablation) | QMIX · SMAC scenarios | performance | Mixed |
| Randomly shuffle agent values entering the mixer during training (ablation) | QMIX · SMAC case studies | performance | No clear effect |
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