Reza Refaei Afshar

According to our database, Reza Refaei Afshar authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing.

Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak

IEEE Trans. Artif. Intell., June, 2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

Yingqian Zhang, Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Robbert Reijnen, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki

Artif. Intell., June, 2023

2022

Dynamic Ad Network Ordering Method Using Reinforcement Learning.

Reza Refaei Afshar, Yingqian Zhang, Uzay Kaymak

Int. J. Comput. Intell. Syst., 2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

Laurens Bliek, Paulo da Costa, Reza Refaei Afshar, Yingqian Zhang, Tom Catshoek, Daniël Vos, Sicco Verwer, Fynn Schmitt-Ulms, André Hottung, Tapan Shah, Meinolf Sellmann, Kevin Tierney, Carl Perreault-Lafleur, Caroline Leboeuf, Federico Bobbio, Justine Pepin, Warley Almeida Silva, Ricardo Gama, Hugo L. Fernandes, Martin Zaefferer, Manuel López-Ibáñez, Ekhine Irurozki

CoRR, 2022

Automated Reinforcement Learning: An Overview.

Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak

CoRR, 2022

Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem.

Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer

Proceedings of the Thirty-Second International Conference on Automated Planning and Scheduling, 2022

2021

Maximizing revenue for publishers using header bidding and ad exchange auctions.

Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli

Oper. Res. Lett., 2021

A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning.

Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model.

Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Reserve price optimization with header bidding and Ad Exchange.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak, Ali Izzet Metin, Gönenç Seçil Tarakçioglu, Cosku Bas

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the Agents and Artificial Intelligence - 11th International Conference, 2019

A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy.

Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019