OpenCodePapers

smac-on-smac-def-armored-sequential

SMACSMAC+
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Click a sortable column header to sort.
PaperCodeMedian Win RateModelNameReleaseDate
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning100DRIMA2021-09-29
Value-Decomposition Networks For Cooperative Multi-Agent Learning✓ Link96.9VDN2017-06-16
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning✓ Link93.8QTRAN2019-05-14
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments✓ Link90.6MADDPG2017-06-07
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link81.3DMIX2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link71.9DDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link53.1DIQL2021-02-16
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions✓ Link9.4IQL2022-07-05
Counterfactual Multi-Agent Policy Gradients✓ Link0.0COMA2017-05-24
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link0.0QMIX2018-03-30
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning✓ Link0.0MASAC2021-04-14
Check out how to contribute new results.