Summary of Sibylsat: Using Sat As An Oracle to Perform a Greedy Search on Tohtn Planning, by Gaspard Quenard (marvin) et al.
SibylSat: Using SAT as an Oracle to Perform a Greedy Search on TOHTN Planning
by Gaspard Quenard, Damier Pellier, Humbert Fiorino
First submitted to arxiv on: 4 Nov 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary SibylSat, a novel SAT-based method for solving totally-ordered Hierarchical Task Network (TOHTN) problems, efficiently identifies promising decompositions using a greedy search approach. Unlike existing SAT-based HTN planners that employ breadth-first searches, SibylSat’s heuristic is derived from solving a relaxed problem expressed as a SAT problem. Experimental evaluations show that SibylSat outperforms existing approaches in terms of runtime and plan quality on most IPC benchmarks, while also solving more problems. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SibylSat is a new way to solve complex planning problems. It uses a special type of computer logic called SAT to find the best solution. Unlike other methods that search through all possibilities, SibylSat looks for promising areas to focus on first. This makes it faster and more effective at finding good solutions. Tests show that SibylSat does better than existing methods in most cases. |
