| A state aggregation approach for solving knapsack problem with deep reinforcement learning RR Afshar, Y Zhang, M Firat, U Kaymak Asian Conference on Machine Learning, 81-96, 2020 | 24 | 2020 |
| A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. RR Afshar, Y Zhang, M Firat, U Kaymak BNAIC/BENELEARN, 2019 | 15 | 2019 |
| Automated reinforcement learning: An overview RR Afshar, Y Zhang, J Vanschoren, U Kaymak arXiv preprint arXiv:2201.05000, 2022 | 13 | 2022 |
| A decision support method to increase the revenue of ad publishers in waterfall strategy RR Afshar, Y Zhang, M Firat, U Kaymak 2019 IEEE Conference on Computational Intelligence for Financial Engineering …, 2019 | 13 | 2019 |
| 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 | 10 | 2021 |
| Deep reinforcement learning for a multi-objective online order batching problem M Beeks, RR Afshar, Y Zhang, R Dijkman, C Van Dorst, S De Looijer Proceedings of the International Conference on Automated Planning and …, 2022 | 6 | 2022 |
| Reserve price optimization with header bidding and ad exchange RR Afshar, Y Zhang, M Firat, U Kaymak, AI Metin, GS Tarakçıoğlu, C Baş 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 4 | 2020 |
| The first AI4TSP competition: Learning to solve stochastic routing problems Y Zhang, L Bliek, P da Costa, RR Afshar, R Reijnen, T Catshoek, D Vos, ... Artificial Intelligence 319, 103918, 2023 | 3 | 2023 |
| 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 |
| Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model J Verheugd, PRO da Costa, RR Afshar, Y Zhang, S Boersma 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 3 | 2020 |
| Reinforcement learning method for ad networks ordering in real-time bidding R Refaei Afshar, Y Zhang, M Firat, U Kaymak International Conference on Agents and Artificial Intelligence, 16-36, 2019 | 3 | 2019 |
| An automated deep reinforcement learning pipeline for dynamic pricing RR Afshar, J Rhuggenaath, Y Zhang, U Kaymak IEEE Transactions on Artificial Intelligence, 2022 | 2 | 2022 |
| The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems L Bliek, P da Costa, RR Afshar, Y Zhang, T Catshoek, D Vos, S Verwer, ... arXiv preprint arXiv:2201.10453, 2022 | 1 | 2022 |
| Dynamic Ad Network Ordering Method Using Reinforcement Learning RR Afshar, Y Zhang, U Kaymak International Journal of Computational Intelligence Systems 15 (1), 27, 2022 | | 2022 |
| Machine Learning for Ad Publishers in Real Time Bidding RR Afshar | | 2022 |
| Automated Reinforcement Learning: An Overview R Refaei Afshar, Y Zhang, J Vanschoren, U Kaymak arXiv e-prints, arXiv: 2201.05000, 2022 | | 2022 |
| Latent space model for analysis of conventions RR Afshar, M Asadpour 2015 The International Symposium on Artificial Intelligence and Signal …, 2015 | | 2015 |
| 2023 Index IEEE Transactions on Artificial Intelligence Vol. 4 H Abbass, M Abdar, MH Abdelpakey, MB Abubaker, RR Afshar, ... | | |
| Editorial Interdisciplinary Artificial Intelligence Research With Machine Education as an Example.......... H. Abbass 399 Y Almardeny, A Benavoli, N Boujnah, E Naredo, DJ Su, D Su, JM Mulvey, ... | | |
| EURO Meets NeurIPS 2022 Vehicle Routing Competition D Numeroso, R Reijnen, RR Afshar, Y Zhang, T Catshoek, K Tierney, ... | | |
Yingqian ZhangAssociate Professor of AI for Decision-Making, Eindhoven University of TechnologyVerified email at tue.nl
