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Smac On Smac Off Complicated Parallel

Métriques

Median Win Rate

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Median Win Rate	Paper Title	Repository
IQL	35.0	-	-
MASAC	0.0	Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
DRIMA	100	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-
DMIX	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QMIX	0.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
COMA	0.0	Counterfactual Multi-Agent Policy Gradients
DDN	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
VDN	70.0	Value-Decomposition Networks For Cooperative Multi-Agent Learning
DIQL	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 Off Complicated Parallel | SOTA | HyperAI