Research output per year
Research output per year
Personal profile
Research profile
Paulo R. de O. da Costa currently pursues a PhD at the Eindhoven University of Technology, The Netherlands, on the topic of Real-time Data-driven Maintenance Logistics. His current research interests are related to using Machine Learning and Optimisation methods applied to sequential decision-making problems.
Academic background
Paulo R. de O. da Costa, MSc. is pursuing a PhD at the School of Industrial Engineering and Innovation Sciences in the Information Systems Group at the Eindhoven University of Technology. He holds a BSc in Computational and Applied Mathematics from the University of Campinas (Unicamp) in Brazil and an MSc in Business Analytics from University College Dublin (UCD) in Ireland.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Research output
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Data-driven prognostics and logistics optimisation: A deep learning journey
de Oliveira da Costa, P. R., 3 Feb 2022, (Accepted/In press) Eindhoven: Eindhoven University of Technology. 232 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Open AccessFile44 Downloads (Pure) -
Learning 2-Opt Heuristics for Routing Problems via Deep Reinforcement Learning
de O. da Costa, P. R., Rhuggenaath, J., Zhang, Y., Akcay, A. & Kaymak, U., 23 Jul 2021, In: SN Computer Science. 2, 16 p., 388.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile12 Downloads (Pure) -
Learning 2-opt Local Search from Heuristics as Expert Demonstrations
Da Costa, P., Zhang, Y., Akcay, A. & Kaymak, U., 20 Sep 2021, 2021 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics Engineers, 8 p. 9533697Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile40 Downloads (Pure) -
Low-Regret Algorithms for Strategic Buyers with Unknown Valuations in Repeated Posted-Price Auctions
Rhuggenaath, J., Oliveira da Costa, P. R. D., Zhang, Y., Akcay, A. & Kaymak, U., 2021, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Springer, p. 416-436 21 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12458 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile32 Downloads (Pure) -
Data-Driven Policy on Feasibility Determination for the Train Shunting Problem
De Oliveira Da Costa, P., Rhuggenaath, J., Zhang, Y., Akcay, A., Lee, W-J. & Kaymak, U., 30 Apr 2020, The European Conference on Machine Learning and Principles (ECML2019) and Practice of Knowledge Discovery in Databases (PKDD2019). Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Berlin: Springer, p. 719-734 16 p. (Lecture Notes in Artificial Intelligence; vol. 11908 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile76 Downloads (Pure)
Activities
- 1 Workshop, seminar, course or exhibition
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AI for TSP Competition
Laurens Bliek (Organiser), Paulo de Oliveira da Costa (Organiser), Reza Refaei Afshar (Organiser) & Yingqian Zhang (Organiser)
2021 → …Activity: Participating in or organising an event types › Workshop, seminar, course or exhibition › Scientific