Smac On Smac Def Outnumbered Sequential

Métriques

Median Win Rate

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
DRIMA	100	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
QTRAN	81.3	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
MADDPG	81.3	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
VDN	15.6	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
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
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
QMIX	0.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
DIQL	0.0	DFAC 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