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SotA/Methodology/Multi-agent Reinforcement Learning/SMAC 27m_vs_30m

Multi-agent Reinforcement Learning on SMAC 27m_vs_30m

Metric: Median Win Rate (higher is better)

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#Model↕Median Win Rate▼AugmentationsPaperDate↕Code
1DDN91.48NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
2DPLEX90.62NoA Unified Framework for Factorizing Distribution...2023-06-04Code
3DMIX85.45NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
4QMIX84.77NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
5QPLEX78.12NoA Unified Framework for Factorizing Distribution...2023-06-04Code
6VDN63.12NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
7QMIX49NoMonotonic Value Function Factorisation for Deep ...2020-03-19Code
8QMIX49NoMonotonic Value Function Factorisation for Deep ...2020-03-19Code
9DIQL6.02NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
10IQL2.27NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
11Heuristic0No--Code