| 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 | 42 | 2020 |
| Learning 2-opt heuristics for the traveling salesman problem via deep reinforcement learning PRO da Costa, J Rhuggenaath, Y Zhang, A Akcay arXiv preprint arXiv:2004.01608, 2020 | 32 | 2020 |
| 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 | 14 | 2021 |
| 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 | 14 | 2019 |
| 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 | 11 | 2019 |
| 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 | 9 | 2019 |
| 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 | 8 | 2018 |
| 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 | 7 | 2021 |
| 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 | 7 | 2019 |
| 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 | 3 | 2021 |
| Algorithms for slate bandits with non-separable reward functions J Rhuggenaath, A Akcay, Y Zhang, U Kaymak arXiv preprint arXiv:2004.09957, 2020 | 3 | 2020 |
| 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 | 2 | 2020 |
| 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 | 2 | 2019 |
| 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 | 2 | 2019 |
| A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning R Refaei Afshar, J Rhuggenaath, Y Zhang, U Kaymak Institute of Electrical and Electronics Engineers, 2021 | 1 | 2021 |
| 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 | 1 | 2021 |
| 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 | 1 | 2021 |
| Revenue management in online markets: pricing and online advertising JS Rhuggenaath | 1 | 2020 |
| 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 | | 2022 |
| An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing RR Afshar, J Rhuggenaath, Y Zhang, U Kaymak IEEE Transactions on Artificial Intelligence, 2022 | | 2022 |
Yingqian ZhangAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl
