<  Back to the Polytechnique Montréal portal

Items where Author is "Bergman, David"

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Authors | Publication Date | Document subtype | No Grouping
Jump to: 2022 | 2021 | 2018
Number of items: 4.

2022

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. External link

2021

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. External link

Bergman, D., Huang, T., Brooks, P., Lodi, A., & Raghunathan, A. U. (2021). JANOS: An Integrated Predictive and Prescriptive Modeling Framework. INFORMS Journal on Computing, 34(2), 807-816. External link

2018

Cappart, Q., Goutierre, E., Bergman, D., & Rousseau, L.-M. (2019, January). Improving optimization bounds using machine learning: Decision diagrams meet deep reinforcement learning [Paper]. Association for the Advancement of Artificial Intelligence (AAAI 2019), Honolulu, HI. External link

List generated on: Wed Sep 16 17:01:17 2026 EDT