Multi-Agent Reinforcement Learning on SMAC corridor Super Hard (test)
20Average ScoreDDN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| DDN2023.06 | 20 | — | |
| DIQL2023.06 | 19.68 | — | |
| DMIX2023.06 | 19.66 | — | |
| VDN2023.06 | 19.47 | — | |
| IQL2023.06 | 19.42 | — | |
| DPLEX2023.06 | 19.08 | — | |
| QPLEX2023.06 | 18.73 | — | |
| QMIX2023.06 | 15.07 | — | |
| DDNDistributional=true2021.02 | — | 95.4 | |
| DIQLDistributional=true2021.02 | — | 91.62 | |
| DMIXDistributional=true2021.02 | — | 90.45 | |
| IQLDistributional=false2021.02 | — | 84.87 | |
| QMIXDistributional=false2021.02 | — | 37.61 | |
| VDNDistributional=false2021.02 | — | 85.34 |