Multi-agent Planning on 4 Agent Scenarios inferred goals
1.62Traj Start SuccessAll
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| AllParameter=—2025.04 | 1.62 | 1.9352 | 1 | 0.8495 | 4 | |
| AllParameter=—2025.04 | 1.52 | 1.9437 | 1 | 0.8501 | 4 | |
| PSN-PartialParameter=|U^i| = 12025.04 | 1.5 | 1.9293 | 0.9926 | 0.8105 | 2 | |
| Cost EvolutionParameter=|U^i| = 12025.04 | 1.25 | 1.9255 | 0.98 | 0.7862 | 2 | |
| Cost EvolutionParameter=|U^i| = 12025.04 | 1.24 | 1.9196 | 0.9804 | 0.7829 | — | |
| kNNsParameter=|U^i| = 12025.04 | 1.17 | 1.7555 | 0.9898 | 0.8012 | — | |
| HessianParameter=|U^i| = 12025.04 | 1.13 | 1.7533 | 0.9912 | 0.8032 | — | |
| PSN-FullParameter=|U^i| = 12025.04 | 1.1 | 1.9184 | 0.994 | 0.8127 | 2 | |
| PSN-FullParameter=|U^i| = 12025.04 | 1.1 | 1.9168 | 0.9941 | 0.8173 | 2 | |
| kNNsParameter=|U^i| = 12025.04 | 1.01 | 1.9024 | 0.9888 | 0.7875 | 2 | |
| PSN-PartialParameter=m_th = 0.52025.04 | 0.99 | 1.8898 | 0.9925 | 0.798 | 1.32 | |
| GradientParameter=|U^i| = 12025.04 | 0.98 | 1.8922 | 0.9885 | 0.7842 | — | |
| GradientParameter=|U^i| = 12025.04 | 0.98 | 1.8993 | 0.9885 | 0.7881 | 2 | |
| BFParameter=|U^i| = 12025.04 | 0.98 | 1.898 | 0.9918 | 0.7881 | 2 | |
| PSN-PartialParameter=m_th = 0.52025.04 | 0.97 | 1.9075 | 0.9927 | 0.7939 | 1.32 | |
| PSN-PartialParameter=|U^i| = 12025.04 | 0.96 | 1.9003 | 0.992 | — | 2 | |
| BFParameter=|U^i| = 12025.04 | 0.95 | 1.8928 | 0.9915 | 0.7875 | — | |
| HessianParameter=|U^i| = 12025.04 | 0.95 | 1.9027 | 0.9914 | 0.7873 | 2 | |
| CBFParameter=|U^i| = 12025.04 | 0.95 | 1.9027 | 0.993 | 0.7863 | 2 | |
| CBFParameter=|U^i| = 12025.04 | 0.94 | 1.8963 | 0.9931 | 0.7846 | — | |
| PSN-FullParameter=m_th = 0.52025.04 | 0.88 | 1.8934 | 0.9942 | 0.7969 | 1.32 | |
| PSN-FullParameter=m_th = 0.52025.04 | 0.87 | 1.8883 | 0.9942 | 0.7968 | 1.32 | |
| DistanceParameter=d_th = 1.0 m2025.04 | 0.86 | 1.8923 | 0.995 | 0.7792 | 1.2 | |
| DistanceParameter=d_th = 1.0 m2025.04 | 0.82 | 1.9006 | 0.9949 | 0.786 | 1.2 |