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Jason Rhuggenaath
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Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning
PR d O Costa, J Rhuggenaath, Y Zhang, A Akcay
Asian conference on machine learning, 465-480, 2020
1592020
Learning 2-opt heuristics for routing problems via deep reinforcement learning
P da Costa, J Rhuggenaath, Y Zhang, A Akcay, U Kaymak
SN Computer Science 2, 1-16, 2021
442021
Optimizing reserve prices for publishers in online ad auctions
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
2019 IEEE Conference on Computational Intelligence for Financial Engineering …, 2019
202019
Optimal display-ad allocation with guaranteed contracts and supply side platforms
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
Computers & Industrial Engineering 137, 106071, 2019
162019
A reward shaping approach for reserve price optimization using deep reinforcement learning
RR Afshar, J Rhuggenaath, Y Zhang, U Kaymak
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
102021
Fuzzy logic based pricing combined with adaptive search for reserve price optimization in online ad auctions
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
2019 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2019
102019
Learning fuzzy decision trees using integer programming
J Rhuggenaath, Y Zhang, A Akcay, U Kaymak, S Verwer
2018 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2018
102018
A PSO-based algorithm for reserve price optimization in online ad auctions
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
2019 IEEE congress on evolutionary computation (CEC), 2611-2619, 2019
82019
An automated deep reinforcement learning pipeline for dynamic pricing
RR Afshar, J Rhuggenaath, Y Zhang, U Kaymak
IEEE Transactions on Artificial Intelligence 4 (3), 428-437, 2022
72022
Machine learning based simulation optimisation for trailer management
D Rijnen, J Rhuggenaath, PRO da Costa, Y Zhang
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
62019
Algorithms for slate bandits with non-separable reward functions
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
arXiv preprint arXiv:2004.09957, 2020
52020
Data driven design for online industrial auctions
QC Ye, J Rhuggenaath, Y Zhang, S Verwer, MJ Hilgeman
Annals of Mathematics and Artificial Intelligence 89, 675-691, 2021
32021
Maximizing revenue for publishers using header bidding and ad exchange auctions
J Rhuggenaath, RR Afshar, A Akcay, Y Zhang, U Kaymak, F Çolak, ...
Operations Research Letters 49 (2), 250-256, 2021
32021
Dynamic pricing using thompson sampling with fuzzy events
J Rhuggenaath, PR de Oliveira da Costa, Y Zhang, A Akcay, U Kaymak
Information Processing and Management of Uncertainty in Knowledge-Based …, 2020
32020
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand
J Rhuggenaath, PRO da Costa, A Akcay, Y Zhang, U Kaymak
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019
32019
Setting reserve prices in second-price auctions with unobserved bids
J Rhuggenaath, A Akcay, Y Zhang, U Kaymak
INFORMS Journal on Computing 34 (6), 2950-2967, 2022
22022
Low-regret algorithms for strategic buyers with unknown valuations in repeated posted-price auctions
J Rhuggenaath, PR Oliveira da Costa, Y Zhang, A Akcay, U Kaymak
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
22021
Revenue management in online markets: pricing and online advertising
JS Rhuggenaath
12020
Data-driven policy on feasibility determination for the train shunting problem
PR de Oliveira da Costa, J Rhuggenaath, Y Zhang, A Akcay, WJ Lee, ...
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2020
12020
Learning 2-opt Local Search for the Traveling Salesman Problem
PRO da Costa, J Rhuggenaath, Y Zhang, A Akcay
BNAIC/BeneLearn 2020, 390, 2020
2020
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