Ride-pooling heuristics- combinatorial explosion and supervised learning
Positions: Student Researcher
Created: 2023-10-22 Deadline:
Location: Poland
You will apply ride-pooling algorithm which pools travellers (e.g. of Uber) into attractive groups. You will use ExMAS (https://github.com/RafalKucharskiPK/ExMAS) which provides exact analytical search in the combinatorically exploding search space (e.g. for 1000 trip requests there is almost a googol number of possible 5-person groups). You will use this analytical results to train supervised machine learning and explore the ways to make the search space searchable.
General must-have requirements
PyTorch or Tensorflow, optimization, ILP, networkX
Contact: Rafał Kucharski (rafal.kucharski [ at ] uj.edu.pl)
Project's lab:
GMUM (Group of Machine Learning Research) is a group of researchers working on various aspects of machine learning, and in particular deep learning - in both fundamental and applied settings. The group is led by prof. Jacek Tabor. We are based in the Jagiellonian University in the beautiful city of Kraków, Poland.
Some of the research directions our group pursues include:
- Generative models: efficient training and sampling; inpainting; super-resolution,
- Theoretical understanding of deep learning and optimization,
- Natural language processing,
- Drug design and cheminformatics,
- Unsupervised learning and clustering,
- Computer vision and medical image analysis.
In 2023, we organized the second edition of Machine Learning Summer School (MLSS^S) with a focus on Applications in Science. We invite participants to collaborate with us on various ongoing research projects - learn more here.
See lab's page