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Models/DRIMA

DRIMA

Reported on 33 benchmarks across 2 tasks · 1 paper · 1 SOTA

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

Methodology17 results

  • Multi-agent Reinforcement LearningonSMAC-Exp
    Median Win Rate· 2022-04-11
    15
    SOTA
    Neural Processes with Stochastic Attention: Paying more attention to the context datasetarXiv:2204.05449
  • Multi-agent Reinforcement LearningonOff_Superhard_sequential
    Median Win Rate
    15.6
  • Multi-agent Reinforcement LearningonOff_Near_sequential
    Median Win Rate
    93.8
  • Multi-agent Reinforcement LearningonOff_Hard_parallel
    Median Win Rate
    80
  • Multi-agent Reinforcement LearningonDef_Outnumbered_sequential
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonOff_Complicated_parallel
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonOff_Complicated_sequential
    Median Win Rate
    96.9
  • Multi-agent Reinforcement LearningonOff_Near_parallel
    Median Win Rate
    95
  • Multi-agent Reinforcement LearningonDef_Armored_parallel
    Median Win Rate
    60
    best: 90 (DMIX)
  • Multi-agent Reinforcement LearningonOff_Distant_parallel
    Median Win Rate
    95
  • Multi-agent Reinforcement LearningonDef_Infantry_parallel
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonOff_Distant_sequential
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonDef_Outnumbered_parallel
    Median Win Rate
    70
  • Multi-agent Reinforcement LearningonDef_Armored_sequential
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonDef_Infantry_sequential
    Median Win Rate
    100
  • Multi-agent Reinforcement LearningonOff_Superhard_parallel
    Median Win Rate
    0
  • Multi-agent Reinforcement LearningonOff_Hard_sequential
    Median Win Rate
    93.8
    best: 96.9 (QMIX)

Playing Games16 results

  • SMAConOff_Superhard_sequential
    Median Win Rate
    15.6
  • SMAConOff_Near_sequential
    Median Win Rate
    93.8
  • SMAConOff_Hard_parallel
    Median Win Rate
    80
  • SMAConDef_Outnumbered_sequential
    Median Win Rate
    100
  • SMAConOff_Complicated_parallel
    Median Win Rate
    100
  • SMAConOff_Complicated_sequential
    Median Win Rate
    96.9
  • SMAConOff_Near_parallel
    Median Win Rate
    95
  • SMAConDef_Armored_parallel
    Median Win Rate
    60
    best: 90 (DMIX)
  • SMAConOff_Distant_parallel
    Median Win Rate
    95
  • SMAConDef_Infantry_parallel
    Median Win Rate
    100
  • SMAConOff_Distant_sequential
    Median Win Rate
    100
  • SMAConDef_Outnumbered_parallel
    Median Win Rate
    70
  • SMAConDef_Armored_sequential
    Median Win Rate
    100
  • SMAConDef_Infantry_sequential
    Median Win Rate
    100
  • SMAConOff_Superhard_parallel
    Median Win Rate
    0
  • SMAConOff_Hard_sequential
    Median Win Rate
    93.8
    best: 96.9 (QMIX)