Official Repository for the Reinforcement Learning Course at Artificial Intelligence and Robotics (Sapienza University of Rome).
Prof. Roberto Capobianco
TAs: Andrea Fanti and Federico Di Valerio
Here you will find the code used during practical lessons.
Please refer to the classroom page for further information.
All the notebooks in the repository should work out-of-the-box on Google Colab. We also provide a requirements.txt which contains all the Python libraries needed to run the
notebooks locally, meant to be used with Python 3.8.*. To install all of them
with pip in a single command (linux/macos) run:
pip install -r requirements.txt
The code of this year uses the gymnasium library instead of gym, which was used in the 2022/2023 edition of the course. A good overview of the differences can be found here.