Augustin Parjadis, Quentin Cappart, Louis-Martin Rousseau
and David Bergman
Paper (2021)
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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| ISBN: | 9783030782290 |
| PolyPublie URL: | https://publications.polymtl.ca/48820/ |
| Conference Title: | 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021) |
| Conference Location: | Vienna, Austria |
| Conference Date(s): | 2021-07-05 - 2021-07-08 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-030-78230-6_28 |
| Official URL: | https://doi.org/10.1007/978-3-030-78230-6_28 |
| Date Deposited: | 18 Apr 2023 15:00 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Parjadis, A., Cappart, Q., Rousseau, L.-M., & Bergman, D. (2021, July). Improving Branch-and-Bound Using Decision Diagrams and Reinforcement Learning [Paper]. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2021), Vienna, Austria. https://doi.org/10.1007/978-3-030-78230-6_28 |
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