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/Def_Infantry_parallel

Multi-agent Reinforcement Learning on Def_Infantry_parallel

Metric: Median Win Rate (higher is better)

LeaderboardDataset
Loading chart...

Results

Submit a result
#Model↕Median Win Rate▼AugmentationsPaperDate↕Code
1QTRAN100NoQTRAN: Learning to Factorize with Transformation...2019-05-14Code
2DRIMA100No---
3QMIX95NoQMIX: Monotonic Value Function Factorisation for...2018-03-30Code
4VDN95NoValue-Decomposition Networks For Cooperative Mul...2017-06-16Code
5DMIX90NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code
6COMA50NoCounterfactual Multi-Agent Policy Gradients2017-05-24Code
7DIQL45NoDFANet: Deep Feature Aggregation for Real-Time S...2019-04-03Code
8IQL40NoThe StarCraft Multi-Agent Challenges+ : Learning...2022-07-05Code
9MASAC30NoDecomposed Soft Actor-Critic Method for Cooperat...2021-04-14Code
10DDN20NoDFAC Framework: Factorizing the Value Function v...2021-02-16Code