Smac On Smac Def Armored Sequential
Metriken
Median Win Rate
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Median Win Rate |
|---|---|
| qtran-learning-to-factorize-with | 93.8 |
| value-decomposition-networks-for-cooperative | 96.9 |
| qmix-monotonic-value-function-factorisation | 0.0 |
| decomposed-soft-actor-critic-method-for | 0.0 |
| disentangling-sources-of-risk-for | 100 |
| the-starcraft-multi-agent-challenges-learning | 9.4 |
| dfac-framework-factorizing-the-value-function | 71.9 |
| counterfactual-multi-agent-policy-gradients | 0.0 |
| multi-agent-actor-critic-for-mixed | 90.6 |
| dfac-framework-factorizing-the-value-function | 53.1 |
| dfac-framework-factorizing-the-value-function | 81.3 |