Abstract
NBS is a non-parametric bidirectional search algorithm proven to expand at most twice the number of node expansions required to verify the optimality of a solution. We introduce new variants of NBS that are aimed at finding all optimal solutions. We then introduce an algorithmic framework that includes NBS as a special case. Finally, we introduce DVCBS, a new algorithm in this framework that aims to further reduce the number of expansions. Unlike NBS, DVCBS does not have any worst-case bound guarantees, but in practice it outperforms NBS in verifying the optimality of solutions.
| Original language | English |
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| Title of host publication | 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 |
| Publisher | AAAI press |
| Pages | 2379-2386 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781577358091 |
| State | Published - 2019 |
| Externally published | Yes |
| Event | 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 - Honolulu, United States Duration: 27 Jan 2019 → 1 Feb 2019 |
Publication series
| Name | 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 |
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Conference
| Conference | 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019 |
|---|---|
| Country/Territory | United States |
| City | Honolulu |
| Period | 27/01/19 → 1/02/19 |
Bibliographical note
Publisher Copyright:© 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This work was supported by Israel Science Foundation (ISF) grant #844/17 to Ariel Felner and Eyal Shimony, by BSF grant #2017692, by NSF grant #1815660 and by the Frankel center for CS at BGU.
| Funders | Funder number |
|---|---|
| National Science Foundation | 1815660 |
| United States-Israel Binational Science Foundation | 2017692 |
| Israel Science Foundation | 844/17 |