Detail Page
Introduction to Reinforcement Learning
In this class, you will have the opportunity to investigate and challenge the fundamental algorithms of this field. The theory will also be covered to ensure this notebook is standalone. Namely, you will have the opportunity to work on a practical use case, good luck!
Skills you will acquire
Sequential Problem
RL taxonomy
Policy Evaluation
Q-learning
Deep Q-Learning
Handful External resources
Useful materials for the ground knowledge:
"Reinforcement Learning: An Introduction" by Sutton & Barto - The definitive book on RL
A repo to follow the book
CleanRL: A repo with several implementations
If you want to go further, here are some starting points:
Your Teachers
Mehdi Zouitine
