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ORCIDJason Rhuggenaath
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2020 – today
- 2023
[j6]Reza Refaei Afshar
, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak:
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing. IEEE Trans. Artif. Intell. 4(3): 428-437 (2023)- 2022
- [j5]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids. INFORMS J. Comput. 34(6): 2950-2967 (2022) - 2021
- [j4]Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman:
Data driven design for online industrial auctions. Ann. Math. Artif. Intell. 89(7): 675-691 (2021) - [j3]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): 250-256 (2021) - [j2]Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak:
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning. SN Comput. Sci. 2(5): 388 (2021) - [c12]Reza Refaei Afshar, Jason Rhuggenaath, Yingqian Zhang, Uzay Kaymak:
A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning. IJCNN 2021: 1-8 - 2020
- [c11]Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay:
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. ACML 2020: 465-480 - [c10]Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak:
Dynamic Pricing Using Thompson Sampling with Fuzzy Events. IPMU (1) 2020: 653-666 - [c9]Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak:
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions. ECML/PKDD (2) 2020: 416-436 - [i4]Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay:
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning. CoRR abs/2004.01608 (2020) - [i3]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Algorithms for slate bandits with non-separable reward functions. CoRR abs/2004.09957 (2020)
2010 – 2019
- 2019
- [j1]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Optimal display-ad allocation with guaranteed contracts and supply side platforms. Comput. Ind. Eng. 137 (2019) - [c8]Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak:
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. BNAIC/BENELEARN 2019 - [c7]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions. CEC 2019: 2611-2619 - [c6]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Optimizing reserve prices for publishers in online ad auctions. CIFEr 2019: 1-8 - [c5]Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions. FUZZ-IEEE 2019: 1-8 - [c4]Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak:
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem. ECML/PKDD (3) 2019: 719-734 - [c3]Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang:
Machine Learning based Simulation Optimisation for Trailer Management. SMC 2019: 3687-3692 - [c2]Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand. SMC 2019: 3693-3698 - [i2]Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak:
Data-driven Policy on Feasibility Determination for the Train Shunting Problem. CoRR abs/1907.04711 (2019) - [i1]Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang:
Machine Learning based Simulation Optimisation for Trailer Management. CoRR abs/1907.07568 (2019) - 2018
- [c1]Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer:
Learning fuzzy decision trees using integer programming. FUZZ-IEEE 2018: 1-8
Coauthor Index
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