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Smac On Smac Def Outnumbered Parallel

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

		Paper Title	Repository
DRIMA	70.0	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-
QMIX	30.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
DMIX	5.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DIQL	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
IQL	0.0	The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
COMA	0.0	Counterfactual Multi-Agent Policy Gradients
MASAC	0.0	Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
VDN	0.0	Value-Decomposition Networks For Cooperative Multi-Agent Learning
DDN	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QTRAN	0.0	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning

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Smac On Smac Def Outnumbered Parallel | SOTA | HyperAI