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Smac On Smac Off Distant Parallel

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

Model Name	Median Win Rate	Paper Title	Repository
DIQL	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DDN	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
IQL	0.0	-	-
QMIX	0.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
DMIX	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
MASAC	0.0	Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
QTRAN	0.0	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
VDN	85.0	Value-Decomposition Networks For Cooperative Multi-Agent Learning
COMA	0.0	Counterfactual Multi-Agent Policy Gradients
DRIMA	95.0	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-

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