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Smac On Smac 6H Vs 8Z 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 TitleRepository
ACE93.75ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency
DDN83.92DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DMIX49.43DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DPLEX43.75A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
QMIX12.78DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QMIX3Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
QMIX3The StarCraft Multi-Agent Challenge
IQL0The StarCraft Multi-Agent Challenge
VDN0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
Heuristic0The StarCraft Multi-Agent Challenge
VDN0The StarCraft Multi-Agent Challenge
IQL0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DIQL0.00DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
QPLEX-A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
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Smac On Smac 6H Vs 8Z 1 | SOTA | HyperAI超神经