Jason Rhuggenaath

Orcid: 0000-0001-5368-2947

According to our database1, Jason Rhuggenaath authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2023
An Automated Deep Reinforcement Learning Pipeline for Dynamic Pricing.
IEEE Trans. Artif. Intell., June, 2023

2022
Setting Reserve Prices in Second-Price Auctions with Unobserved Bids.
INFORMS J. Comput., 2022

2021
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.
SN Comput. Sci., 2021

Maximizing revenue for publishers using header bidding and ad exchange auctions.
Oper. Res. Lett., 2021

Data driven design for online industrial auctions.
Ann. Math. Artif. Intell., 2021

A Reward Shaping Approach for Reserve Price Optimization using Deep Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Algorithms for slate bandits with non-separable reward functions.
CoRR, 2020

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Pricing Using Thompson Sampling with Fuzzy Events.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
Optimal display-ad allocation with guaranteed contracts and supply side platforms.
Comput. Ind. Eng., 2019

Machine Learning based Simulation Optimisation for Trailer Management.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A heuristic policy for dynamic pricing and demand learning with limited price changes and censored demand.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Fuzzy Logic based Pricing combined with Adaptive Search for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Optimizing reserve prices for publishers in online ad auctions.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Learning fuzzy decision trees using integer programming.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018


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