HyperAIHyperAI
HomeNewsLatest PapersTutorialsDatasetsWikiSOTALLM ModelsGPU LeaderboardEvents
Search
About
HyperAIHyperAI

Smac On Smac Def Outnumbered Sequential

Metrics

Median Win Rate

Results

Performance results of various models on this benchmark

Model Name
Median Win Rate
Paper TitleRepository
DDN0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
DMIX0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
MASAC0.0Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning
VDN15.6Value-Decomposition Networks For Cooperative Multi-Agent Learning
DRIMA100Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning-
IQL0.0The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
COMA0.0Counterfactual Multi-Agent Policy Gradients
QTRAN81.3QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
QMIX0.0QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
MADDPG81.3Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
DIQL0.0DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
0 of 11 row(s) selected.
Smac On Smac Def Outnumbered Sequential | SOTA | HyperAI