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Multi-Agent Reinforcement Learning on SMAC 6h_vs_8z (test)

19.4Average ScoreDDN
9.353611.961814.5717.1782Feb 16, 2021Sep 24, 2021May 3, 2022Dec 10, 2022Jul 19, 2023Feb 25, 2024Oct 3, 2024

Evaluation results

MethodLinks
DDNFramework=DFAC, Training Length=8M timesteps2021.0219.4—
LBIprotocol=offline reinforcement learning2024.1018.97—
DMIXFramework=DFAC, Training Length=8M timesteps2021.0217.14—
VDNTraining Length=8M timesteps2021.0215.41—
DIQLTraining Length=8M timesteps2021.0214.94—
QMIXTraining Length=8M timesteps2021.0214.37—
IQLTraining Length=8M timesteps2021.0213.78—
OMIGAprotocol=offline reinforcement learning2024.1012.74—
BCQ-MAprotocol=offline reinforcement learning2024.1011.91—
ICQprotocol=offline reinforcement learning2024.1011.55—
CQL-MAprotocol=offline reinforcement learning2024.109.95—
OMARprotocol=offline reinforcement learning2024.109.74—
QMIX2020.03—3