Cooperative Multi-Agent Reinforcement Learning on SMAC 5m_vs_6m Hard
0.24Mean Success RateAlberDICE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AlberDICENumber of agents (N)=5, Number of random seeds=52023.11 | 0.24 | 0.03 | |
| BCNumber of agents (N)=5, Number of random seeds=52023.11 | 0.23 | 0.02 | |
| OptiDICENumber of agents (N)=5, Number of random seeds=52023.11 | 0.21 | 0.02 | |
| MADTKDNumber of agents (N)=5, Number of random seeds=52023.11 | 0.19 | 0.02 | |
| ICQNumber of agents (N)=5, Number of random seeds=52023.11 | 0.18 | 0.1 | |
| OMARNumber of agents (N)=5, Number of random seeds=52023.11 | 0.18 | 0.02 |