TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

SotA/Methodology/Multi-agent Reinforcement Learning/SMAC MMM2

Multi-agent Reinforcement Learning on SMAC MMM2

Metric: Median Win Rate (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Median Win Rate▼AugmentationsPaperDate↕Code
1ACE100NoACE: Cooperative Multi-agent Q-learning with Bid...2022-11-29Code
2DDN97.22NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
3DPLEX96.88NoA Unified Framework for Factorizing Distribution...2023-06-04Code
4QPLEX96.88NoA Unified Framework for Factorizing Distribution...2023-06-04Code
5DMIX95.11NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
6QMIX92.44NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
7VDN89.2NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
8DIQL85.23NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
9QMIX69NoMonotonic Value Function Factorisation for Deep ...2020-03-19Code
10QMIX69NoMonotonic Value Function Factorisation for Deep ...2020-03-19Code
11IQL68.92NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
12VDN1NoThe StarCraft Multi-Agent Challenge2019-02-11Code
13IQL0No--Code
14Heuristic0No--Code