Multi-Agent Reinforcement Learning
Benchmarks
Dataset NameSOTA methodMetricTrendResultsLast Updated
19.9Protoss Score
9
Jun 4, 2026
93Win Rate
9
Jun 4, 2026
40Return
9
Jun 4, 2026
40Return
9
Jun 4, 2026
1.57Collisions
9
Jun 2, 2026
87Disparity (Dis-1)
9
May 19, 2026
93.5Dis-1
9
May 19, 2026
99.5Natural Acc
9
May 19, 2026
99.5Win Rate (Natural Baseline)
9
May 19, 2026
98.6Natural Performance
9
May 19, 2026
99.7Natural Score
9
May 19, 2026
99.1Natural Performance
9
May 19, 2026
99.3Natural Performance
9
May 19, 2026
99Success Rate (Dis-1)
9
May 19, 2026
44.8Win Rate
9
May 19, 2026
98.3Test Win Rate
9
May 19, 2026
81.4Win Rate
9
May 19, 2026
91.4Test Win Rate
9
May 19, 2026
92.7Win Rate (Dis-1)
9
May 19, 2026
100Win Rate
9
Feb 26, 2026
96.8Win Rate
9
Feb 26, 2026
100Win Rate
9
Feb 26, 2026
65.9Mean Episode Return
8
Jun 11, 2026
184.4Mean Episode Return
8
Jun 11, 2026
78.1Mean Win Rate
8
Mar 13, 2026