Jason Rhuggenaath

22 papers B 6C 1Journal 10Unranked 5
YearRankTypeTitle / 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
2022 J jnl
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids.
INFORMS J. Comput.
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
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
Data driven design for online industrial auctions.
Ann. Math. Artif. Intell.
Qing Chuan Ye, Jason Rhuggenaath, Yingqian Zhang, Sicco Verwer, Michiel Jurgen Hilgeman
2021 J jnl
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.
SN Comput. Sci.
Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, 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 J jnl
Algorithms for slate bandits with non-separable reward functions.
CoRR
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2020 — conf
Dynamic Pricing Using Thompson Sampling with Fuzzy Events.
IPMU (1)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2020 C conf
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.
ACML
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
2020 J jnl
Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.
CoRR
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay
2020 — conf
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.
ECML/PKDD (2)
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak
2019 B conf
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions.
CEC
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019 B conf
A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand.
SMC
Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019 — conf
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
BNAIC/BENELEARN
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019 — conf
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
ECML/PKDD (3)
Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019 J jnl
Data-driven Policy on Feasibility Determination for the Train Shunting Problem.
CoRR
Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak
2019 B conf
Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.
FUZZ-IEEE
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019 B conf
Machine Learning based Simulation Optimisation for Trailer Management.
SMC
Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang
2019 J jnl
Machine Learning based Simulation Optimisation for Trailer Management.
CoRR
Dylan Rijnen, Jason Rhuggenaath, Paulo R. de O. da Costa, Yingqian Zhang
2019 J jnl
Optimal display-ad allocation with guaranteed contracts and supply side platforms.
Comput. Ind. Eng.
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2019 — conf
Optimizing reserve prices for publishers in online ad auctions.
CIFEr
Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak
2018 B conf
Learning fuzzy decision trees using integer programming.
FUZZ-IEEE
Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak, Sicco Verwer