Research map / Learning theory and algorithms / Combinatorial and search optimization
Towards Clause-Learning State Space Search: Learning to Recognize Dead-Ends
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| enable unlimited conjunction learning (alpha=inf) instead of none (alpha=1) in DFS (ablation) | DFS-CL · NoMystery | search space size: reduction factor min/geomean/max 7.5/412.0/18117.9 | Helped |
| enable unlimited conjunction learning (alpha=inf) instead of none (alpha=1) in DFS (ablation) | DFS-CL · Rovers | search space size: reduction factor min/geomean/max 58.9/681.3/70401.5 | Helped |
| enable unlimited conjunction learning (alpha=inf) instead of none (alpha=1) in DFS (ablation) | DFS-CL · TPP | search space size: reduction factor min/geomean/max 1/34.4/1584.3 | Mixed |
| enable unlimited conjunction learning (alpha=inf) instead of none (alpha=1) in DFS (ablation) | DFS-CL · NoMystery, W=1.0 | coverage: 0 -> 12 | Helped |
| enable unlimited conjunction learning (alpha=inf) instead of none (alpha=1) in DFS (ablation) | DFS-CL · Rovers, W=1.0 | coverage: 0 -> 21 | Helped |
| learning with search space reduction on other benchmarks (Airport, Freecell, Bottleneck, UnsPegsol, UnsTiles) | DFS-CL · other benchmarks | runtime / coverage | Mixed |
Closest papers by meaning
- CAPER: Clause-Aligned Process Supervision for Text-to-SQL (NeurIPS 2026 · similarity 0.84)
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