The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems

1 code implementation • 25 Jan 2022 • 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

Overall, by organizing this competition we have introduced routing problems as an interesting problem setting for AI researchers.

Combinatorial Optimization Traveling Salesman Problem

A Reinforcement Learning Approach to the Orienteering Problem with Time Windows

2 code implementations • 7 Nov 2020 • Ricardo Gama, Hugo L. Fernandes

This study explores the use of Pointer Network models trained using reinforcement learning to solve the OPTW problem.

Combinatorial Optimization reinforcement-learning +1

Quantifying mesoscale neuroanatomy using X-ray microtomography

no code implementations • 13 Apr 2016 • Eva L. Dyer, William Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Vincent De Andrade, Rafael Vescovi, Kamel Fezzaa, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri

Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photons or electrons.