Projecten per jaar
Persoonlijk profiel
Research profile
Jason Rhuggenaath received his MSc. degree in Management Science and Operations Research from Erasmus University Rotterdam where he also obtained his MSc. degree in Economics and Business Economics. Currently, he pursues a Ph.D. at the School of Industrial Engineering in the Information Systems group. His research interests are data-driven optimization, sequential decision-making under uncertainty and machine learning, focusing on applications in operations management and revenue management.
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Projecten
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Setting reserve prices in second-price auctions with unobserved bids
Rhuggenaath, J., Akcay, A., Zhang, Y. & Kaymak, U., 22 mrt. 2022, (Geaccepteerd/In druk) In: INFORMS Journal on Computing. XX, XOnderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand35 Downloads (Pure) -
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning
Refaei Afshar, R., Rhuggenaath, J., Zhang, Y. & Kaymak, U., 20 sep. 2021, 2021 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics Engineers, 8 blz. 9533817Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand214 Downloads (Pure) -
Data driven design for online industrial auctions
Ye, Q. C., Rhuggenaath, J., Zhang, Y., Verwer, S. E. & Hilgeman, M. J., jul. 2021, In: Annals of Mathematics and Artificial Intelligence. 89, 7, blz. 675-691 17 blz.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand78 Downloads (Pure) -
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning
de O. da Costa, P. R., Rhuggenaath, J., Zhang, Y., Akcay, A. & Kaymak, U., 23 jul. 2021, In: SN Computer Science. 2, 16 blz., 388.Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review
Open AccessBestand17 Downloads (Pure) -
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions
Rhuggenaath, J., Oliveira da Costa, P. R. D., Zhang, Y., Akcay, A. & Kaymak, U., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (redactie). Springer, blz. 416-436 21 blz. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12458 LNAI).Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
Open AccessBestand39 Downloads (Pure)