Generalized Planning on IPC Ferry 2023 (test)
100CoverageLifted HER
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Lifted HER2026.05 | 100 | 736 | |
| Distincter2026.05 | 92 | — | |
| GSPπSearch Strategy=greedy policy, Search Budget=10,000 expansions or 1 hour2026.05 | 87 | 422 | |
| LAMA2026.05 | 78 | 285 | |
| GSPWA⋆Search Strategy=WA⋆ (w = 2) heuristic, Search Budget=10,000 expansions or 1 hour2026.05 | 77 | 232 | |
| WL-f2026.05 | 73 | — | |
| R-GNN (Ω-Exp)Architecture=R-GNN, Policy Formulation=Explicit regularized (Ω-Exp), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 67.8 | 119.6 | |
| R-GNN (Ω-Heu)Architecture=R-GNN, Policy Formulation=Heuristic regularized (Ω-Heu), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 67.8 | 119.6 | |
| LAMA-firstTime Limit=1 minute, Memory Limit=8 GB2026.03 | 67.8 | 150.3 | |
| Horčík2026.05 | 66 | — | |
| R-GNN (V)Architecture=R-GNN, Policy Formulation=State-value (V), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 54.4 | 73.7 | |
| α0Search Strategy=AlphaZero-style learning2026.05 | 19 | — |