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SMAC

Benchmarks

Task NameDataset NameSOTA ResultTrend
Multi-Agent Reinforcement LearningSMAC (test)
Win Rate (2s3z)99.8
56
Multi-Agent Reinforcement LearningSMAC v2 (test)
Win Rate (Protoss 5 Units)84
35
Multi-Agent Reinforcement LearningSMAC
Win Rate (3m)99.7
34
Exposure Intensity evaluationSMAC II 1c3s5z (test)
Exposure Intensity2.1
24
Exposure Intensity evaluationSMAC MMM v2 (test)
Exposure Intensity3.03
24
Exposure Intensity evaluationSMAC II 8m v2 (test)
Exposure Intensity2.2
24
Exposure Intensity evaluationSMAC II 1c3s6z vs 1c3s5z v2 (test)
Exposure Intensity2.45
24
Adversary RewardSMAC 1c3s5z II
Adversary Reward18.87
24
Adversary RewardSMAC MMM II
Adversary Reward19.16
24
Adversary RewardSMAC 8m II
Adversary Reward17.07
24
Adversary RewardSMAC 1c3s6z vs 1c3s5z II
Adversary Reward19.41
24
Multi-Agent Reinforcement LearningSMAC Avg. v1
Normalized Win Rate1.006
18
Multi-Agent Reinforcement LearningSMAC 6h* v1
Normalized Win Rate104.9
18
Multi-Agent Reinforcement LearningSMAC 3s5z v1
Normalized Win Rate99.4
18
Multi-Agent Reinforcement LearningSMAC 2s3z v1
Normalized Win Rate100.2
18
Multi-Agent Reinforcement LearningSMAC 3m v1
Normalized Win Rate100.9
18
Multi-Agent Reinforcement LearningSMAC maps
5m_vs_6m Score59
18
Multi-agent CoordinationSMAC 1o10b_vs_1r
Win Rate65
16
Multi-Agent Reinforcement LearningSMAC corridor v2
Win Rate79.2
15
Multi-Agent Reinforcement LearningSMAC 5m_vs_6m v2
Win Rate53.9
15
Multi-Agent Reinforcement LearningSMAC 3s5z vs 3s6z v2
Win Rate0.801
15
Multi-Agent Reinforcement LearningSMAC 3s5z v1 (test)
Win Rate92.7
13
Multi-Agent Reinforcement LearningSMAC 3m
Win Rate67.1
13
5m vs 6mSMAC
Win Rate93.7
13
Adversarial AttackSMAC 27m_vs_30m
Reward19.24
12
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