Smac On Smac Def Armored Parallel
Metrics
Median Win Rate
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | Median Win Rate |
|---|---|
| dfac-framework-factorizing-the-value-function | 90.0 |
| counterfactual-multi-agent-policy-gradients | 0.0 |
| dfac-framework-factorizing-the-value-function | 0.0 |
| qmix-monotonic-value-function-factorisation | 75.0 |
| disentangling-sources-of-risk-for | 60.0 |
| dfac-framework-factorizing-the-value-function | 0.0 |
| the-starcraft-multi-agent-challenges-learning | 0.0 |
| decomposed-soft-actor-critic-method-for | 0.0 |
| qtran-learning-to-factorize-with | 5.0 |
| value-decomposition-networks-for-cooperative | 5.0 |