HyperAI超神经

首页资讯论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

HyperAI超神经

Smac On Smac 27M Vs 30M

评估指标

Average Score

Median Win Rate

评测结果

各个模型在此基准测试上的表现结果

模型名称	Average Score	Median Win Rate	Paper Title	Repository
DMIX	19.43	85.45	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
VDN	18.45	63.12	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
DIQL	14.45	6.02	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
QMIX	19.41	84.77	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
Heuristic	-	0	The StarCraft Multi-Agent Challenge	-
DDN	19.71	91.48	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
QPLEX	19.33	78.12	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
DPLEX	19.62	90.62	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning	-
IQL	14.01	2.27	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning	-
QMIX	-	49	The StarCraft Multi-Agent Challenge	-
QMIX	-	49	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning	-

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