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Benchmarks
Multi-Agent Reinforcement Learning on SMAC 5m_vs_6m v2
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53.9
Win Rate
ACL-LFT
43.916
46.508
49.1
51.692
Oct 30, 2025
Win Rate
Updated 1mo ago
Evaluation Results
Method
Method
Links
Win Rate
ACL-LFT
RL-Method=QPLEX
2025.10
53.9
ACL-LFT
RL-Method=MAPPO
2025.10
52.7
ACL-LFT
RL-Method=QMIX
2025.10
52.4
AMAGO
RL-Method=QPLEX
2025.10
49.5
AMAGO
RL-Method=QMIX
2025.10
48.3
AMAGO
RL-Method=MAPPO
2025.10
48.1
Mamba
RL-Method=QPLEX
2025.10
47.8
ToST
RL-Method=QPLEX
2025.10
47.3
ToST
RL-Method=QMIX
2025.10
46.9
ToST
RL-Method=MAPPO
2025.10
46.3
Mamba
RL-Method=MAPPO
2025.10
46.2
Mamba
RL-Method=QMIX
2025.10
46.1
Transformer
RL-Method=QPLEX
2025.10
45.6
Transformer
RL-Method=MAPPO
2025.10
44.5
Transformer
RL-Method=QMIX
2025.10
44.3
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