Reza Refaei Afshar

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Top Venues

BNAIC/BENELEARN

Publications

Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. IEEE Trans. Artif. Intell. 4 (3) (2023)
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
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319 (2023)
Reza Refaei Afshar, Yingqian Zhang, Uzay Kaymak
Dynamic Ad Network Ordering Method Using Reinforcement Learning. Int. J. Comput. Intell. Syst. 15 (1) (2022)
Reza Refaei Afshar, Yingqian Zhang, Joaquin Vanschoren, Uzay Kaymak
Automated Reinforcement Learning: An Overview. CoRR (2022)
Martijn Beeks, Reza Refaei Afshar, Yingqian Zhang, Remco M. Dijkman, Claudy van Dorst, Stijn de Looijer
Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem. ICAPS (2022)
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
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR (2022)
Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. IJCNN (2021)
Jason Rhuggenaath, Reza Refaei Afshar, Alp Akcay, Yingqian Zhang, Uzay Kaymak, Fatih Çolak, Muratcan Tanyerli
Maximizing revenue for publishers using header bidding and ad exchange auctions. Oper. Res. Lett. 49 (2) (2021)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. CoRR (2020)
Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. SMC (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. ACML (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak, Ali Izzet Metin, Gönenç Seçil Tarakçioglu, Cosku Bas
Reserve price optimization with header bidding and Ad Exchange. SMC (2020)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. ICAART (2) (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy. CIFEr (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. BNAIC/BENELEARN (2019)
Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak
Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding. ICAART (Revised Selected Papers) (2019)