Data Science and Economics Master Degree, Università degli Studi di Milano
Materials are organized by Academic Year.
Coding is implemented using the Python libraries pyenv for setting up the virtual environment and poetry for managing dependencies.
For AA 2023-24, the code follows two approaches:
- Implementing environment, models and algorithms from scratch (mainly for teaching purposes). This is stored in the folder
2023-24.code
- Code implemented using the gymnasium library, stored in the package
2023-24.gymp.gymp
- Prof. Cesa-Bianchi lecture notes are available at https://cesa-bianchi.di.unimi.it/RL/
- Prof. Ferrara lecture notes are available in this repository in the
2023-24.lnotes
folder.