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Benchmarks
Multi-Agent Reinforcement Learning on SMAC (8m → 3m) (Efficiency and Win Rate)
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80,000
Environment Interactions (x10^5)
GCT-MARL
63,920
172,460
281,000
389,540
Jun 23, 2026
Environment Interactions (x10^5)
Final Win Rate
Updated 1mo ago
Evaluation Results
Method
Method
Links
Environment Interactions (x10^5)
Final Win Rate
GCT-MARL
2026.06
80,000
100
LA-QT
2026.06
142,000
94
MAIL
2026.06
190,000
100
DANN
2026.06
280,000
92
CycleGAN
2026.06
310,000
91
CORAL
2026.06
330,000
94
Baseline
2026.06
482,000
96
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