Paulo Roberto de Oliveira da Costa

According to our database, Paulo Roberto de Oliveira da Costa authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The first AI4TSP competition: Learning to solve stochastic routing problems.

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

Artif. Intell., June, 2023

Policies for the dynamic traveling maintainer problem with alerts.

Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang

Eur. J. Oper. Res., 2023

2022

The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems.

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

CoRR, 2022

2021

Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning.

Paulo da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Uzay Kaymak

SN Comput. Sci., 2021

Learning 2-opt Local Search from Heuristics as Expert Demonstrations.

Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Remaining useful lifetime prediction via deep domain adaptation.

Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Reliab. Eng. Syst. Saf., 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, Sjoerd Boersma

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dynamic Pricing Using Thompson Sampling with Fuzzy Events.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak

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.

Paulo R. de O. da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Machine Learning based Simulation Optimisation for Trailer Management.

Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang

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.

Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Data-Driven Policy on Feasibility Determination for the Train Shunting Problem.

Paulo Roberto de Oliveira da Costa, Jason Rhuggenaath, Yingqian Zhang, Alp Akcay, Wan-Jui Lee, Uzay Kaymak

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

A Genetic Algorithm for a Green Vehicle Routing Problem.

Paulo Roberto de Oliveira da Costa, Stefano Mauceri, Paula Carroll, Fabiano Pallonetto

Electron. Notes Discret. Math., 2018