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Automatic Generation of Flexible Plans via Diverse Temporal Planning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| merge compatible time points from diverse plans into a TPN | TPN generation · Classical IPC domains, successful runs | compactness: .42 | Helped |
| merge compatible time points from diverse plans into a TPN | TPN generation · Temporal IPC domains, successful runs | compactness: .10 | Helped |
| generate k=8 rather than k=2 diverse plans (ablation) | TPN generation, classical IPC domains · Classical IPC domains, successful runs | compactness: .42 -> .62 | Helped |
| generate k=8 rather than k=2 diverse plans (ablation) | TPN generation, temporal IPC domains · Temporal IPC domains, successful runs | compactness: .10 -> .15 | Helped |
| use Semi rather than Full compatibility (ablation) | TPN generation · Temporal IPC domains, successful runs | compactness: .10 -> .12 | Helped |
| use Semi rather than Full compatibility (ablation) | TPN generation · Temporal IPC domains, all runs | compactness: .05 -> .06 | Helped |
| use Loose rather than Strict transitivity (ablation) | TPN generation · Classical IPC domains, successful runs, k=8 | compactness: .62 -> .45 | Hurt |
| use Loose rather than Strict transitivity (ablation) | TPN generation · Temporal IPC domains, successful runs, k=8 | compactness: .15 -> .13 | Hurt |
| increase the number of input diverse plans (ablation) | TPN generation · IPC domains | successful runs | Mixed |
| use Semi rather than Full compatibility (ablation) | TPN generation · IPC domains | successful runs | Mixed |
Closest papers by meaning
- SAGAS: Semantic-Aware Graph-Assisted Stitching for Offline Temporal Logic Planning (NeurIPS 2026 · similarity 0.85)
- Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification (ICML 2025 · similarity 0.85)
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- System 1.x: Learning to Balance Fast and Slow Planning with Language Models (ICLR 2025 · similarity 0.84)
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