Quentin Cappart, David Bergman, Louis-Martin Rousseau
, Isabeau Prémont-Schwarz and Augustin Parjadis
Article (2022)
An external link is available for this item| Department: |
Department of Computer Engineering and Software Engineering Department of Mathematics and Industrial Engineering |
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| PolyPublie URL: | https://publications.polymtl.ca/51477/ |
| Journal Title: | INFORMS Journal on Computing (vol. 34, no. 5) |
| Publisher: | INFORMS |
| DOI: | 10.1287/ijoc.2022.1194 |
| Official URL: | https://doi.org/10.1287/ijoc.2022.1194 |
| Date Deposited: | 18 Apr 2023 14:58 |
| Last Modified: | 08 Apr 2025 07:19 |
| Cite in APA 7: | Cappart, Q., Bergman, D., Rousseau, L.-M., Prémont-Schwarz, I., & Parjadis, A. (2022). Improving variable orderings of approximate decision diagrams using reinforcement learning. INFORMS Journal on Computing, 34(5), 2552-2570. https://doi.org/10.1287/ijoc.2022.1194 |
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