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Benchmarks
Multi-Agent Reinforcement Learning on SMAC 3s5z vs 3s6z v2
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0.801
Win Rate
ACL-LFT
0.71156
0.73478
0.758
0.78122
Oct 30, 2025
Win Rate
Updated 1mo ago
Evaluation Results
Method
Method
Links
Win Rate
ACL-LFT
RL-Method=QPLEX
2025.10
0.801
ACL-LFT
RL-Method=QMIX
2025.10
0.794
ACL-LFT
RL-Method=MAPPO
2025.10
0.789
AMAGO
RL-Method=QPLEX
2025.10
0.775
AMAGO
RL-Method=QMIX
2025.10
0.763
AMAGO
RL-Method=MAPPO
2025.10
0.761
Mamba
RL-Method=QMIX
2025.10
0.751
ToST
RL-Method=QPLEX
2025.10
0.751
Mamba
RL-Method=QPLEX
2025.10
0.75
ToST
RL-Method=QMIX
2025.10
0.737
Transformer
RL-Method=QPLEX
2025.10
0.736
Transformer
RL-Method=QMIX
2025.10
0.728
Mamba
RL-Method=MAPPO
2025.10
0.726
ToST
RL-Method=MAPPO
2025.10
0.722
Transformer
RL-Method=MAPPO
2025.10
0.715
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