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smac-on-smac-off-hard-parallel

SMACSMAC+
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PaperCodeMedian Win RateModelNameReleaseDate
Disentangling Sources of Risk for Distributional Multi-Agent Reinforcement Learning80.0DRIMA2021-09-29
Value-Decomposition Networks For Cooperative Multi-Agent Learning✓ Link15.0VDN2017-06-16
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning✓ Link0.0MASAC2021-04-14
Counterfactual Multi-Agent Policy Gradients✓ Link0.0COMA2017-05-24
The StarCraft Multi-Agent Challenges+ : Learning of Multi-Stage Tasks and Environmental Factors without Precise Reward Functions✓ Link0.0IQL2022-07-05
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning✓ Link0.0QTRAN2019-05-14
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link0.0QMIX2018-03-30
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link0.0DDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link0.0DIQL2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link0.0DMIX2021-02-16
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