HyperAI超神经

首页算力平台文档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 3S5Z Vs 3S6Z 1

评估指标

Median Win Rate

评测结果

各个模型在此基准测试上的表现结果

		Paper Title	Repository
ACE	100	ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
DDN	94.03	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DMIX	91.08	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DPLEX	90.62	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
VDN	89.2	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QPLEX	84.38	A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
QMIX	67.22	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DIQL	62.22	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
IQL	29.83	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QMIX	2	Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
VDN	2	The StarCraft Multi-Agent Challenge
Heuristic	0	The StarCraft Multi-Agent Challenge
IQL	0	The StarCraft Multi-Agent Challenge

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Smac On Smac 3S5Z Vs 3S6Z 1 | SOTA | HyperAI超神经