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Models/QPLEX

QPLEX

Reported on 36 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.

Methodology18 results

Multi-agent Reinforcement LearningonSMAC 3s5z_vs_3s6z
Average Score· 2023-06-04
20.42
best: 20.94 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 3s5z_vs_3s6z
Median Win Rate· 2023-06-04
84.38
best: 100 (ACE)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 6h_vs_9z
Average Score· 2023-06-04
13.86
best: 16 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC corridor
Average Score· 2023-06-04
18.73
best: 20 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC corridor
Median Win Rate· 2023-06-04
75
best: 100 (ACE)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 3s5z_vs_4s6z
Average Score· 2023-06-04
13.6
best: 19.65 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_8m4M1M
Average Score· 2023-06-04
15.52
best: 16.5 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_8m4M1M
Median Win Rate· 2023-06-04
46.88
best: 63.35 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC MMM2
Average Score· 2023-06-04
19.6
best: 20.9 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv: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 Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC corridor_2z_vs_24zg
Average Score· 2023-06-04
6.44
best: 11.1 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC MMM2_7m2M1M_vs_9m3M1M
Average Score· 2023-06-04
19.06
best: 19.45 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv: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 Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 26m_vs_30m
Average Score· 2023-06-04
18.66
best: 19.17 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 26m_vs_30m
Median Win Rate· 2023-06-04
78.12
best: 81.82 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 6h_vs_8z
Average Score· 2023-06-04
15.95
best: 19.4 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 27m_vs_30m
Average Score· 2023-06-04
19.33
best: 19.71 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
Multi-agent Reinforcement LearningonSMAC 27m_vs_30m
Median Win Rate· 2023-06-04
78.12
best: 91.48 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430

Playing Games18 results

SMAConSMAC 3s5z_vs_3s6z
Average Score· 2023-06-04
20.42
best: 20.94 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 3s5z_vs_3s6z
Median Win Rate· 2023-06-04
84.38
best: 100 (ACE)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 6h_vs_9z
Average Score· 2023-06-04
13.86
best: 16 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC corridor
Average Score· 2023-06-04
18.73
best: 20 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC corridor
Median Win Rate· 2023-06-04
75
best: 100 (ACE)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 3s5z_vs_4s6z
Average Score· 2023-06-04
13.6
best: 19.65 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC MMM2_7m2M1M_vs_8m4M1M
Average Score· 2023-06-04
15.52
best: 16.5 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC MMM2_7m2M1M_vs_8m4M1M
Median Win Rate· 2023-06-04
46.88
best: 63.35 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC MMM2
Average Score· 2023-06-04
19.6
best: 20.9 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv: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 Learning arXiv:2306.02430
SMAConSMAC corridor_2z_vs_24zg
Average Score· 2023-06-04
6.44
best: 11.1 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC MMM2_7m2M1M_vs_9m3M1M
Average Score· 2023-06-04
19.06
best: 19.45 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv: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 Learning arXiv:2306.02430
SMAConSMAC 26m_vs_30m
Average Score· 2023-06-04
18.66
best: 19.17 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 26m_vs_30m
Median Win Rate· 2023-06-04
78.12
best: 81.82 (DMIX)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 6h_vs_8z
Average Score· 2023-06-04
15.95
best: 19.4 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 27m_vs_30m
Average Score· 2023-06-04
19.33
best: 19.71 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430
SMAConSMAC 27m_vs_30m
Median Win Rate· 2023-06-04
78.12
best: 91.48 (DDN)
A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning arXiv:2306.02430