Compiling HTN Plan Verification Problems into HTN Planning Problems
| Authors |
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| Publication date | 2022 |
| Host editors |
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| Book title | Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling |
| Book subtitle | June 13-24, 2022, virtual conference |
| ISBN (electronic) |
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| Series | ICAPS |
| Event | ICAPS 2022 |
| Pages (from-to) | 145-150 |
| Number of pages | 6 |
| Publisher | Palo Alto, California: AAAI Press |
| Organisations |
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| Abstract |
Plan Verification is the task of deciding whether a sequence of actions is a solution for a given planning problem. In HTN planning, the task is computationally expensive and may be up to NP-hard. However, there are situations where it needs to be solved, e.g. when a solution is post-processed, in systems using approximation, or just to validate whether a planning system works correctly (e.g. for debugging or in a competition). There are verification systems based on translations to propositional logic and on techniques from parsing. Here we present a third approach and translate HTN plan verification problems into HTN planning problems. These can be solved using any HTN planning system. We collected a new benchmark set based on models and results of the 2020 International Planning Competition. Our evaluation shows that our compilation outperforms the approaches from the literature.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1609/icaps.v32i1.19795 |
| Downloads |
19795-Article Text-23808-1-2-20220613
(Final published version)
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| Permalink to this page | |
