OpenCodePapers

smac-on-smac-27m-vs-30m

SMAC
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PaperCodeMedian Win RateAverage ScoreModelNameReleaseDate
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link91.4819.71DDN2021-02-16
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link90.6219.62DPLEX2023-06-04
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link85.4519.43DMIX2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link84.7719.41QMIX2021-02-16
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning✓ Link78.1219.33QPLEX2023-06-04
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link63.1218.45VDN2021-02-16
The StarCraft Multi-Agent Challenge✓ Link49QMIX2019-02-11
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning✓ Link49QMIX2020-03-19
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link6.0214.45DIQL2021-02-16
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning✓ Link2.2714.01IQL2021-02-16
The StarCraft Multi-Agent Challenge✓ Link0Heuristic2019-02-11
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