Generalized Planning on IPC Transport 2023 (test)
96CoverageLifted HER
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Lifted HER2026.05 | 96 | 228 | |
| LAMA2026.05 | 77 | 86 | |
| R-GNN (Ω-Heu)Architecture=R-GNN, Policy Formulation=Heuristic regularized (Ω-Heu), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 74.4 | 96.8 | |
| GSPπSearch Strategy=greedy policy, Search Budget=10,000 expansions or 1 hour2026.05 | 73 | 448 | |
| R-GNN (Ω-Exp)Architecture=R-GNN, Policy Formulation=Explicit regularized (Ω-Exp), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 70 | 91.3 | |
| LAMA-firstTime Limit=1 minute, Memory Limit=8 GB2026.03 | 64.4 | 70.7 | |
| GSPWA⋆Search Strategy=WA⋆ (w = 2) heuristic, Search Budget=10,000 expansions or 1 hour2026.05 | 57 | 52 | |
| WL-f2026.05 | 56 | — | |
| Distincter2026.05 | 56 | — | |
| Horčík2026.05 | 39 | — | |
| R-GNN (V)Architecture=R-GNN, Policy Formulation=State-value (V), Time Limit=1 minute, Memory Limit=8 GB2026.03 | 24.4 | 69.6 | |
| α0Search Strategy=AlphaZero-style learning2026.05 | 0 | — |