Research map / Learning theory and algorithms / Combinatorial and search optimization
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the piecewise downward-convex priority ΦpwXD instead of WA* | Best-first bounded-suboptimal search · 15-Puzzle, w = 3.0 | average state expansions: 11,600 -> 4,978 | Helped |
| Use ΦpwXD instead of WA* | Best-first bounded-suboptimal search · Heavy 15-Puzzle, w = 3.0 | average state expansions: 57,778 -> 50,664 | Helped |
| Use ΦpwXD instead of WA* | Best-first bounded-suboptimal search · Heavy Pancake Puzzle, w = 3.0 | average state expansions: 22,732 -> 367 | Helped |
| Use ΦpwXD instead of WA* | Best-first bounded-suboptimal search · 15-Puzzle, w = 3.0 | average path cost: 77.99 -> 89.33 | Hurt |
| Use ΦpwXD instead of WA* | Best-first bounded-suboptimal search · Heavy 15-Puzzle, w = 3.0 | average path cost: 619.62 -> 685.66 | Hurt |
| Use ΦpwXD instead of WA* | Best-first bounded-suboptimal search · Heavy Pancake Puzzle, w = 3.0 | average path cost: 88.94 -> 95.74 | Hurt |
| Use ΦpwXD instead of WA* | FastDownward planning search · Data-network | IPC problems solved: 14 -> 16 | Helped |
| Use ΦpwXD instead of WA* | FastDownward planning search · Spider | IPC problems solved: 17 -> 18 | Helped |
| Use ΦpwXD instead of WA* | FastDownward planning search · Termes | IPC problems solved: 12 -> 13 | Helped |
| Use ΦpwXD instead of WA* | FastDownward planning search · Spider common problems | average expansions: 30,017 -> 37,827 | Hurt |
| Set additive-bound parameter K to h0 rather than 2γ (ablation) | ΦAB · DAO, γ = 256 | average state expansions: 481 -> 368 | Helped |
| Set additive-bound parameter K to h0 rather than 2γ (ablation) | ΦAB · Sliding tile puzzle, γ = 256 | average state expansions: 399 -> 204 | Helped |
Closest papers by meaning
- New Results in Bounded-Suboptimal Search (AAAI 2022 · similarity 0.90)
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- Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics (AAAI 2026 · similarity 0.87)
- Anytime Recursive Best-First Search for Bounding Marginal MAP (AAAI 2019 · similarity 0.85)
- Anchor Search: A Unified Framework for Suboptimal Bidirectional Search (AAAI 2025 · similarity 0.85)
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