Cooperative Multi-Agent Reinforcement Learning on SMAC 8m_vs_9m Hard
0.67Mean Success RateAlberDICE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AlberDICENumber of agents (N)=8, Number of random seeds=52023.11 | 0.67 | 0.06 | |
| BCNumber of agents (N)=8, Number of random seeds=52023.11 | 0.48 | 0.05 | |
| OptiDICENumber of agents (N)=8, Number of random seeds=52023.11 | 0.47 | 0.05 | |
| OMARNumber of agents (N)=8, Number of random seeds=52023.11 | 0.45 | 0.05 | |
| MADTKDNumber of agents (N)=8, Number of random seeds=52023.11 | 0.14 | 0.04 | |
| ICQNumber of agents (N)=8, Number of random seeds=52023.11 | 0.12 | 0.21 |