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Collaborative Multi-Agent Reinforcement Learning research benchmarks · SOTA2 Research

Collaborative Multi-Agent Reinforcement Learning

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

SMAC Zerg (5 agents) v2

49.1Win Rate

4

Apr 2, 2026

SMAC Protoss (10 agents) v2

56.3Win Rate

4

Apr 2, 2026

SMAC Terran (10 agents) v2

58.3Win Rate

4

Apr 2, 2026

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