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ORCIDPaulo Roberto de Oliveira da Costa
Person information
- affiliation: Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, The Netherlands
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Journal Articles
- 2024
[j6]Sami Serkan Özarik
, Paulo da Costa, Alexandre M. Florio:
Machine Learning for Data-Driven Last-Mile Delivery Optimization. Transp. Sci. 58(1): 27-44 (2024)- 2023
- [j5]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:
The first AI4TSP competition: Learning to solve stochastic routing problems. Artif. Intell. 319: 103918 (2023) - [j4]Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang:
Policies for the dynamic traveling maintainer problem with alerts. Eur. J. Oper. Res. 305(3): 1141-1152 (2023) - 2021
- [j3]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) - 2020
- [j2]Paulo Roberto de Oliveira da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Remaining useful lifetime prediction via deep domain adaptation. Reliab. Eng. Syst. Saf. 195: 106682 (2020) - 2018
- [j1]Paulo Roberto de Oliveira da Costa, Stefano Mauceri, Paula Carroll, Fabiano Pallonetto:
A Genetic Algorithm for a Green Vehicle Routing Problem. Electron. Notes Discret. Math. 64: 65-74 (2018)
Conference and Workshop Papers
- 2021
- [c9]Paulo da Costa, Yingqian Zhang, Alp Akcay, Uzay Kaymak:
Learning 2-opt Local Search from Heuristics as Expert Demonstrations. IJCNN 2021: 1-8 - 2020
- [c8]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 - [c7]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 - [c6]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 - [c5]Jeroen Verheugd, Paulo Roberto de Oliveira da Costa, Reza Refaei Afshar, Yingqian Zhang, Sjoerd Boersma:
Predicting Water Pipe Failures with a Recurrent Neural Hawkes Process Model. SMC 2020: 2628-2633 - 2019
- [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. BNAIC/BENELEARN 2019 - [c3]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 - [c2]Dylan Rijnen, Jason Rhuggenaath, Paulo Roberto de Oliveira da Costa, Yingqian Zhang:
Machine Learning based Simulation Optimisation for Trailer Management. SMC 2019: 3687-3692 - [c1]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
Informal and Other Publications
- 2022
- [i6]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:
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems. CoRR abs/2201.10453 (2022) - 2021
- [i5]Paulo da Costa, Peter Verleijsdonk, Simon Voorberg, Alp Akcay, Stella Kapodistria, Willem van Jaarsveld, Yingqian Zhang:
Policies for the Dynamic Traveling Maintainer Problem with Alerts. CoRR abs/2105.15119 (2021) - 2020
- [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) - 2019
- [i3]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) - [i2]Paulo R. de O. da Costa, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
Remaining Useful Lifetime Prediction via Deep Domain Adaptation. CoRR abs/1907.07480 (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)
Coauthor Index
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