Reinforcement Learning Tutorial

This repository hosts the code for the reinforcment learning tutorial for the AI Institute in Dynamic Systems ML Workshop on Tuesday, June 27th, 2023.

Contents

The template.ipynb file is a skeleton of the full_tutorial.ipynb file, which houses the full code that accompanies the tutorial.

Content	Resources
Slides	Slides
Tutorial Notebook

Contributors:

• Nick Zolman (UW)
• Ludger Paehler (TUM)
• Vincent Van Wynendaele (ESPCI-Paris PSL)

Additional Resources:

• From Workshop Tutorial:
  • Vincent's Snake Game Code from the tutorial.
  • RLlib Documentation
  • Gymnasium documentation
• OpenAI's Spinning up RL
• List of Additional Awesome DRL Resources
• Lessons from AlphaZero for Optimal, Model Predictive, and Adaptive Control
• Illustrating Reinforcement Learning from Human Feedback
• Lilian Weng's Essays on Reinforcement Learning:
  • A (Long) Peek into Reinforcement Learning
  • Domain Randomization for Sim2Real Transfer
  • Meta Reinforcement Learning
  • Curriculum for Reinforcement Learning
  • Exploration Strategies in Deep Reinforcement Learning