Multi-Agent Reinforcement Learning
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
99.9Win Rate
19
Jul 7, 2026
126.3Normalized Score
19
Jun 2, 2026
1.006Normalized Win Rate
18
Feb 26, 2026
104.9Normalized Win Rate
18
Feb 26, 2026
99.4Normalized Win Rate
18
Feb 26, 2026
100.2Normalized Win Rate
18
Feb 26, 2026
100.9Normalized Win Rate
18
Feb 26, 2026
595m_vs_6m Score
18
Feb 26, 2026
27.9Return
17
Apr 21, 2026
81Win Rate (Protoss)
15
Jun 30, 2026
8,144R̄
15
Jun 15, 2026
150.5Mean Episode Return
15
Jun 11, 2026
208.7Mean Episode Return
15
Jun 11, 2026
36.4AUC
15
Jul 7, 2026
37.72Reward
15
Mar 16, 2026
145.35Reward
15
Mar 16, 2026
79.2Win Rate
15
Mar 4, 2026
53.9Win Rate
15
Mar 4, 2026
0.801Win Rate
15
Mar 4, 2026
99.8Win Rate
14
Jun 30, 2026
100Final Win Rate
13
Jun 25, 2026
1,116.75Average Episodic Return
13
Jun 23, 2026
92.7Win Rate
13
May 19, 2026
1001c3s5z Win Rate
13
Feb 26, 2026
0.038State Entropy
12
Feb 27, 2026