A Decision Support Method to Increase the Revenue of Ad Publishers in Waterfall Strategy. - Reza Refaei Afshar; Yingqian Zhang 001; Murat Firat; Uzay Kaymak (CIFEr, 2019)

A Reinforcement Learning Method to Select Ad Networks in Waterfall Strategy. - Reza Refaei Afshar; Yingqian Zhang 001; Murat Firat; Uzay Kaymak (ICAART (2), 2019)

Reinforcement Learning Method for Ad Networks Ordering in Real-Time Bidding. - Reza Refaei Afshar; Yingqian Zhang 001; Murat Firat; Uzay Kaymak (ICAART (Revised Selected Papers), 2019)

A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. - Reza Refaei Afshar; Yingqian Zhang 001; Murat Firat; Uzay Kaymak (ACML, 2020)

Reserve price optimization with header bidding and Ad Exchange. - Reza Refaei Afshar; Yingqian Zhang 001; Murat Firat; Uzay Kaymak; Ali Izzet Metin; Gönenç Seçil Tarakçioglu; Cosku Bas (SMC, 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 001; Sjoerd Boersma (SMC, 2020)

A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. - Reza Refaei Afshar; Jason Rhuggenaath; Yingqian Zhang 001; Uzay Kaymak (IJCNN, 2021)

Maximizing revenue for publishers using header bidding and ad exchange auctions. - Jason Rhuggenaath; Reza Refaei Afshar; Alp Akcay; Yingqian Zhang 001; Uzay Kaymak; Fatih Çolak; Muratcan Tanyerli (Oper. Res. Lett., 2021)

Deep Reinforcement Learning for a Multi-Objective Online Order Batching Problem. - Martijn Beeks; Reza Refaei Afshar; Yingqian Zhang 001; Remco M. Dijkman; Claudy van Dorst; Stijn de Looijer (ICAPS, 2022)

Automated Reinforcement Learning: An Overview. - Reza Refaei Afshar; Yingqian Zhang 001; Joaquin Vanschoren; Uzay Kaymak (CoRR, 2022)

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. - Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Yingqian Zhang 001; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; Kevin Tierney; et al. (CoRR, 2022)

Dynamic Ad Network Ordering Method Using Reinforcement Learning. - Reza Refaei Afshar; Yingqian Zhang 001; Uzay Kaymak (Int. J. Comput. Intell. Syst., 2022)

The first AI4TSP competition: Learning to solve stochastic routing problems. - Yingqian Zhang 001; Laurens Bliek; Paulo da Costa 001; Reza Refaei Afshar; Robbert Reijnen; Tom Catshoek; Daniël Vos; Sicco Verwer; Fynn Schmitt-Ulms; André Hottung; Tapan Shah 001; Meinolf Sellmann; et al. (Artif. Intell., 2023)

An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. - Reza Refaei Afshar; Jason Rhuggenaath; Yingqian Zhang 001; Uzay Kaymak (IEEE Trans. Artif. Intell., 2023)