HyperAI
Home
News
Latest Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
English
HyperAI
Toggle sidebar
Search the site…
⌘
K
Home
SOTA
Smac 1
Smac On Smac Def Outnumbered Sequential
Smac On Smac Def Outnumbered Sequential
Metrics
Median Win Rate
Results
Performance results of various models on this benchmark
Columns
Model Name
Median Win Rate
Paper Title
Repository
DDN
0.0
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-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
VDN
15.6
Value-Decomposition Networks For Cooperative Multi-Agent Learning
DRIMA
100
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning
-
IQL
0.0
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions
COMA
0.0
Counterfactual Multi-Agent Policy Gradients
QTRAN
81.3
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
QMIX
0.0
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
MADDPG
81.3
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
DIQL
0.0
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
0 of 11 row(s) selected.
Previous
Next