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Models/DPLEX

DPLEX

Reported on 40 benchmarks across 2 tasks · 1 paper

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

Methodology20 results

  • Multi-agent Reinforcement LearningonSMAC 3s5z_vs_3s6z
    Average Score· 2023-06-04
    20.27
    best: 20.94 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 3s5z_vs_3s6z
    Median Win Rate· 2023-06-04
    90.62
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 6h_vs_9z
    Average Score· 2023-06-04
    14.84
    best: 16 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC corridor
    Average Score· 2023-06-04
    19.08
    best: 20 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC corridor
    Median Win Rate· 2023-06-04
    81.25
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 3s5z_vs_4s6z
    Average Score· 2023-06-04
    14.99
    best: 19.65 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_8m4M1M
    Average Score· 2023-06-04
    15.89
    best: 16.5 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_8m4M1M
    Median Win Rate· 2023-06-04
    50
    best: 63.35 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2
    Average Score· 2023-06-04
    19.93
    best: 20.9 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2
    Median Win Rate· 2023-06-04
    96.88
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC corridor_2z_vs_24zg
    Average Score· 2023-06-04
    10.71
    best: 11.1 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC corridor_2z_vs_24zg
    Median Win Rate· 2023-06-04
    3.12
    best: 41.19 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_9m3M1M
    Average Score· 2023-06-04
    19.4
    best: 19.45 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_9m3M1M
    Median Win Rate· 2023-06-04
    90.62
    best: 92.33 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 26m_vs_30m
    Average Score· 2023-06-04
    18.49
    best: 19.17 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 26m_vs_30m
    Median Win Rate· 2023-06-04
    59.38
    best: 81.82 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 6h_vs_8z
    Average Score· 2023-06-04
    17.88
    best: 19.4 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 6h_vs_8z
    Median Win Rate· 2023-06-04
    43.75
    best: 93.75 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 27m_vs_30m
    Average Score· 2023-06-04
    19.62
    best: 19.71 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • Multi-agent Reinforcement LearningonSMAC 27m_vs_30m
    Median Win Rate· 2023-06-04
    90.62
    best: 91.48 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430

Playing Games20 results

  • SMAConSMAC 3s5z_vs_3s6z
    Average Score· 2023-06-04
    20.27
    best: 20.94 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 3s5z_vs_3s6z
    Median Win Rate· 2023-06-04
    90.62
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 6h_vs_9z
    Average Score· 2023-06-04
    14.84
    best: 16 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC corridor
    Average Score· 2023-06-04
    19.08
    best: 20 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC corridor
    Median Win Rate· 2023-06-04
    81.25
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 3s5z_vs_4s6z
    Average Score· 2023-06-04
    14.99
    best: 19.65 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2_7m2M1M_vs_8m4M1M
    Average Score· 2023-06-04
    15.89
    best: 16.5 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2_7m2M1M_vs_8m4M1M
    Median Win Rate· 2023-06-04
    50
    best: 63.35 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2
    Average Score· 2023-06-04
    19.93
    best: 20.9 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2
    Median Win Rate· 2023-06-04
    96.88
    best: 100 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC corridor_2z_vs_24zg
    Average Score· 2023-06-04
    10.71
    best: 11.1 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC corridor_2z_vs_24zg
    Median Win Rate· 2023-06-04
    3.12
    best: 41.19 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2_7m2M1M_vs_9m3M1M
    Average Score· 2023-06-04
    19.4
    best: 19.45 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC MMM2_7m2M1M_vs_9m3M1M
    Median Win Rate· 2023-06-04
    90.62
    best: 92.33 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 26m_vs_30m
    Average Score· 2023-06-04
    18.49
    best: 19.17 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 26m_vs_30m
    Median Win Rate· 2023-06-04
    59.38
    best: 81.82 (DMIX)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 6h_vs_8z
    Average Score· 2023-06-04
    17.88
    best: 19.4 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 6h_vs_8z
    Median Win Rate· 2023-06-04
    43.75
    best: 93.75 (ACE)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 27m_vs_30m
    Average Score· 2023-06-04
    19.62
    best: 19.71 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430
  • SMAConSMAC 27m_vs_30m
    Median Win Rate· 2023-06-04
    90.62
    best: 91.48 (DDN)
    A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement LearningarXiv:2306.02430