Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Smac On Smac Def Armored Parallel

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

		Paper Title	Repository
DMIX	90.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QMIX	75.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
DRIMA	60.0	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-
QTRAN	5.0	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
VDN	5.0	Value-Decomposition Networks For Cooperative Multi-Agent 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
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
MASAC	0.0	Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning

0 of 10 row(s) selected.

Smac On Smac Def Armored Parallel | SOTA | HyperAI