Euro PhD School Data Science meets Combinatorial Optimization

The complete material can be downloaded as zip using this link

Monday: Deep Reinforcement Learning for Vehicle Routing Problems (Kevin Tierney)

Slides: pdf

Tutorial, part 1 (Basics): Open In Colab

Tutorial, part 2 (Efficient Active Search): Open In Colab

Tuesday: Efficient algorithm design via automated algorithm selection and configuration (Marius Lindauer, Alexander Tornede)

Slides, part 1: pdf

Slides, part 2: pdf

Slides, part 3: pdf

Jupyter Notebook: Open In Colab

Wednesday: Optimization in Machine Learning (Yingqian Zhang, Sicco Verwer)

Slides: pdf

Jupyter Notebook Optimize: Open In Colab

Jupyter Notebook Learning Tree: Open In Colab

Thursday: Instance Space Analysis (Kate Smith-Miles)

Slides: pdf