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Models/COMA

COMA

Reported on 32 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology16 results

  • Multi-agent Reinforcement LearningonOff_Near_parallel
    Median Win Rate· 2017-05-24
    20
    best: 95 (QMIX)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • Multi-agent Reinforcement LearningonDef_Infantry_parallel
    Median Win Rate· 2017-05-24
    50
    best: 100 (QTRAN)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • Multi-agent Reinforcement LearningonDef_Infantry_sequential
    Median Win Rate· 2017-05-24
    28.1
    best: 100 (MADDPG)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • Multi-agent Reinforcement LearningonOff_Superhard_sequential
    Median Win Rate
    0
    best: 15.6 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Near_sequential
    Median Win Rate
    0
    best: 93.8 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Hard_parallel
    Median Win Rate
    0
    best: 80 (DRIMA)
  • Multi-agent Reinforcement LearningonDef_Outnumbered_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Complicated_parallel
    Median Win Rate
    0
    best: 100 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Complicated_sequential
    Median Win Rate
    0
    best: 96.9 (DRIMA)
  • Multi-agent Reinforcement LearningonDef_Armored_parallel
    Median Win Rate
    0
    best: 90 (DMIX)
  • Multi-agent Reinforcement LearningonOff_Distant_parallel
    Median Win Rate
    0
    best: 95 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Distant_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • Multi-agent Reinforcement LearningonDef_Outnumbered_parallel
    Median Win Rate
    0
    best: 70 (DRIMA)
  • Multi-agent Reinforcement LearningonDef_Armored_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • Multi-agent Reinforcement LearningonOff_Superhard_parallel
    Median Win Rate
    0
  • Multi-agent Reinforcement LearningonOff_Hard_sequential
    Median Win Rate
    0
    best: 96.9 (QMIX)

Playing Games16 results

  • SMAConOff_Near_parallel
    Median Win Rate· 2017-05-24
    20
    best: 95 (QMIX)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • SMAConDef_Infantry_parallel
    Median Win Rate· 2017-05-24
    50
    best: 100 (QTRAN)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • SMAConDef_Infantry_sequential
    Median Win Rate· 2017-05-24
    28.1
    best: 100 (MADDPG)
    SOTA
    Counterfactual Multi-Agent Policy GradientsarXiv:1705.08926
  • SMAConOff_Superhard_sequential
    Median Win Rate
    0
    best: 15.6 (DRIMA)
  • SMAConOff_Near_sequential
    Median Win Rate
    0
    best: 93.8 (DRIMA)
  • SMAConOff_Hard_parallel
    Median Win Rate
    0
    best: 80 (DRIMA)
  • SMAConDef_Outnumbered_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • SMAConOff_Complicated_parallel
    Median Win Rate
    0
    best: 100 (DRIMA)
  • SMAConOff_Complicated_sequential
    Median Win Rate
    0
    best: 96.9 (DRIMA)
  • SMAConDef_Armored_parallel
    Median Win Rate
    0
    best: 90 (DMIX)
  • SMAConOff_Distant_parallel
    Median Win Rate
    0
    best: 95 (DRIMA)
  • SMAConOff_Distant_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • SMAConDef_Outnumbered_parallel
    Median Win Rate
    0
    best: 70 (DRIMA)
  • SMAConDef_Armored_sequential
    Median Win Rate
    0
    best: 100 (DRIMA)
  • SMAConOff_Superhard_parallel
    Median Win Rate
    0
  • SMAConOff_Hard_sequential
    Median Win Rate
    0
    best: 96.9 (QMIX)