Research map / Learning theory and algorithms / Combinatorial and search optimization
An AI Planning Solution to Scenario Generation for Enterprise Risk Management
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use LM-cut heuristic instead of blind heuristic (planner grounding enabled, lifted) (ablation) | top-k planner · Planner config comparison | problems solved: 123 -> 76 | Hurt |
| use LM-cut heuristic instead of blind heuristic (lifted, planner grounding enabled) (ablation) | top-k planner · Planner config comparison | nodes expanded: 51,625 -> 8,199 | Helped |
| use LM-cut heuristic instead of blind heuristic (lifted, planner grounding enabled) (ablation) | top-k planner · Planner config comparison | avg time (s): 109.95 -> 284.13 | Hurt |
| disable planner grounding (lifted, blind heuristic) (ablation) | top-k planner · Planner config comparison | avg time (s): 109.95 -> 0.90 | Helped |
| use partially grounded task instead of lifted (blind heuristic) (ablation) | top-k planner · Planner config comparison | problems solved: 123 -> 123 | No clear effect |
| increase number of observations | SPA lifted small · Lifted small | planner time (s): 0.01 -> 22.24 | Hurt |
| use full Mind Maps (lifted all) instead of subset (lifted small) | SPA · 20 observations | planner time (s): 22.24 -> 65.62 | Hurt |
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