OpenCodePapers

smac-on-smac-6h-vs-8z-1

SMAC
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PaperCodeMedian Win RateAverage ScoreModelNameReleaseDate
ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency✓ Link93.75ACE2022-11-29
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link83.9219.4DDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link49.4317.14DMIX2021-02-16
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link43.7517.88DPLEX2023-06-04
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link12.7814.37QMIX2021-02-16
The StarCraft Multi-Agent Challenge✓ Link3QMIX2019-02-11
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link3QMIX2020-03-19
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link015.41VDN2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link0.0014.94DIQL2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link013.78IQL2021-02-16
The StarCraft Multi-Agent Challenge✓ Link0IQL2019-02-11
The StarCraft Multi-Agent Challenge✓ Link0VDN2019-02-11
The StarCraft Multi-Agent Challenge✓ Link0Heuristic2019-02-11
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link15.95QPLEX2023-06-04
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