Avoiding Undesired Future (AUF) on Bermuda
70.6Success ProbabilityCARE
Evaluation results
| Method | Links | |
|---|---|---|
| CARE2026.05 | 70.6 | |
| Non-Parametric Rehearsal Learning2026.05 | 70.2 | |
| QWZ232026.05 | 67.6 | |
| Grad-Rh2026.05 | 67.4 | |
| Grad-Rh (true graph)Graph source=True graph, Sample size=10002026.05 | 66.9 | |
| QWZ23 (true graph)Graph source=True graph, Sample size=10002026.05 | 66.9 | |
| OLEM-RhGraph source=Learned from data, Sample size=10002026.05 | 66.8 | |
| Grad-Rh w/OLEM+prunGraph source=Learned from data, Graph learning algorithm=OLEM+prun, Sample size=10002026.05 | 66.8 | |
| OLEM-Rh w/CaPSGraph source=Learned from data, Order-learning component=CaPS, Sample size=10002026.05 | 66.8 | |
| MICNS2026.05 | 66.8 | |
| Grad-Rh w/CaPSGraph source=Learned from data, Graph learning algorithm=CaPS, Sample size=10002026.05 | 57.5 | |
| Grad-Rh w/NOTEARSGraph source=Learned from data, Graph learning algorithm=NOTEARS, Sample size=10002026.05 | 32.2 | |
| Grad-Rh w/GESGraph source=Learned from data, Graph learning algorithm=GES, Sample size=10002026.05 | 27.9 | |
| Baseline (No action)action=none2026.05 | 22.2 |