Cooperative Multi-Agent Reinforcement Learning on SMAC Corridor (SH)
98Mean Success RateAlberDICE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AlberDICENumber of agents (N)=6, Number of random seeds=52023.11 | 98 | 0 | |
| OMARNumber of agents (N)=6, Number of random seeds=52023.11 | 92 | 0.02 | |
| OptiDICENumber of agents (N)=6, Number of random seeds=52023.11 | 91 | 0.02 | |
| BCNumber of agents (N)=6, Number of random seeds=52023.11 | 90 | 0.02 | |
| ICQNumber of agents (N)=6, Number of random seeds=52023.11 | 78 | 0.03 | |
| MADTKDNumber of agents (N)=6, Number of random seeds=52023.11 | 67 | 0.01 |