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Smac On Smac Def Outnumbered Sequential

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

Model Name
Median Win Rate
Paper TitleRepository
DDN0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning-
DMIX0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning-
MASAC0.0Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning-
VDN15.6Value-Decomposition Networks For Cooperative Multi-Agent Learning-
DRIMA100Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning-
IQL0.0The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions-
COMA0.0Counterfactual Multi-Agent Policy Gradients-
QTRAN81.3QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning-
QMIX0.0QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning-
MADDPG81.3Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments-
DIQL0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning-
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Smac On Smac Def Outnumbered Sequential | SOTA | HyperAI