Reza Refaei Afshar

16 papers A* 1B 3C 1Journal 7Unranked 4

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