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Reza Refaei Afshar
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Year
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
272020
Automated reinforcement learning: An overview
RR Afshar, Y Zhang, J Vanschoren, U Kaymak
arXiv preprint arXiv:2201.05000, 2022
152022
A reinforcement learning method to select ad networks in waterfall strategy
RRA Afshar, Y Zhang, M Firat, U Kaymak
31st Benelux Conference on Artificial Intelligence and 28th Belgian-Dutch …, 2019
152019
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
132019
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
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
72022
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
52022
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
42023
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
42020
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
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
32020
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
32019
Dynamic ad network ordering method using reinforcement learning
RR Afshar, Y Zhang, U Kaymak
International Journal of Computational Intelligence Systems 15 (1), 27, 2022
12022
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
12022
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, ...
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