Reinforcement Learning Summer School (RLSS) 2026 Tutorials

Reinforcement Learning Basics I and II tutorials

Welcome to the official tutorial repository for the Reinforcement Learning Basics Session I and II @ Reinforcement Learning Summer School 2026!

This repository contains all the practical coding tutorials we will be using throughout the sessions.

🚀 Interactive Tutorials

You don’t need to install anything on your local machine to participate. All tutorials are designed to run directly in the cloud using Google Colab. Alternatively, if you prefer to work locally, you can download the notebooks and set up the required environment as:

conda create -n rlss2026-basics python=3.11
conda activate rlss2026-basics
pip install -r requirements.txt

Choose a tutorial from the table below and click the badge to launch it.

📚 Tutorial Module 📝 Description 💻 Exercise ✅ Solution
Basics of RL I Tabular RL and Gymnasium API. Open In Colab Open In Colab
Basics of RL II Policy Gradient Algorithms. Open In Colab Open In Colab

🛠️ Instructions for Students

  1. Open the notebook: Click the “Open in Colab” badge next to the tutorial you want to work on.
  2. Save a copy: The notebook will open in a temporary sandbox. To save your progress and execute the code, click File > Save a copy in Drive.
  3. Run the code: You can now edit the code, train your agents, and run the visualization cells in your personal copy.