Cooperative Multi-Agent Reinforcement Learning on SMAC 3s5z Hard
47Mean Success RateAlberDICE
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AlberDICENumber of agents (N)=8, Number of random seeds=52023.11 | 47 | 0.03 | |
| OMARNumber of agents (N)=8, Number of random seeds=52023.11 | 43 | 0.04 | |
| BCNumber of agents (N)=8, Number of random seeds=52023.11 | 30 | 0.05 | |
| OptiDICENumber of agents (N)=8, Number of random seeds=52023.11 | 28 | 0.05 | |
| ICQNumber of agents (N)=8, Number of random seeds=52023.11 | 18 | 0.08 | |
| MADTKDNumber of agents (N)=8, Number of random seeds=52023.11 | 12 | 0.02 |