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Smac On Smac Def Armored Sequential

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

		Paper Title	Repository
DRIMA	100	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-
VDN	96.9	Value-Decomposition Networks For Cooperative Multi-Agent Learning
QTRAN	93.8	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
MADDPG	90.6	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
DMIX	81.3	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DDN	71.9	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DIQL	53.1	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
IQL	9.4	The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
QMIX	0.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
MASAC	0.0	Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
COMA	0.0	Counterfactual Multi-Agent Policy Gradients

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Smac On Smac Def Armored Sequential | SOTA | HyperAI