Improving variable orderings of approximate decision diagrams using reinforcement learning
| Year of publication: |
2022
|
|---|---|
| Authors: | Cappart, Quentin ; Bergman, David ; Rousseau, Louis-Martin ; Prémont-Schwarz, Isabeau ; Parjadis, Augustin |
| Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 5, p. 2552-2570
|
| Subject: | decision diagrams | deep reinforcement learning | optimization bounds | Entscheidung | Decision | Lernen | Learning | Lernprozess | Learning process | Entscheidungstheorie | Decision theory |
-
Learning, experimentation and the convergence of the discovered preferences
Kapera, Marek, (2024)
-
Rational fouls? : loss aversion on organizational and individual goals influence decision quality
Greve, Henrich R., (2021)
-
When and why narcissists exhibit greater hindsight bias and less perceived learning
Howes, Satoris S., (2020)
- More ...
-
An exact algorithm for the quadratic multiknapsack problem with an application to event seating
Bergman, David, (2019)
-
Decision diagram decomposition for quadratically constrained binary optimization
Bergman, David, (2021)
-
JANOS: an integrated predictive and prescriptive modeling framework
Bergman, David, (2022)
- More ...