OpenCodePapers

smac-on-smac-def-infantry-sequential

SMACSMAC+
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PaperCodeMedian Win RateModelNameReleaseDate
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments✓ Link100MADDPG2017-06-07
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning100DRIMA2021-09-29
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning✓ Link100QTRAN2019-05-14
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link100DMIX2021-02-16
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link96.9QMIX2018-03-30
Value-Decomposition Networks For Cooperative Multi-Agent Learning✓ Link96.9VDN2017-06-16
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions✓ Link93.8IQL2022-07-05
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link93.8DIQL2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link90.6DDN2021-02-16
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning✓ Link37.5MASAC2021-04-14
Counterfactual Multi-Agent Policy Gradients✓ Link28.1COMA2017-05-24