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 Off Distant Parallel

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
DRIMA	95.0	Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning	-
VDN	85.0	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
DDN	0.0	DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
IQL	0.0	-	-
QMIX	0.0	QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement 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
QTRAN	0.0	QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
COMA	0.0	Counterfactual Multi-Agent Policy Gradients

0 of 10 row(s) selected.

Smac On Smac Off Distant Parallel | SOTA | HyperAI超神经