Introduction

In this course we present the main essentials algorithm in Reinforcement Learning. Two algorithmms are presented in two introductory notebooks:

1. Monte Carlo method
2. Temporal Difference

References

This course follows Reinforcement Learning. An Introduction Richard S. Sutton and Andrew G. Barto and is free !!

Python problems replication for Sutton & Barto's book, Github Repository.

How to use the Notebooks?

It's easy, you only need installed Conda in your machine. And configured in our favorite terminal.

Now we only need to install the conda environment with the folllowing command:

conda env create -f conda.yml
conda activate rl_course
python -m ipykernel install --name rl_course --display-name "rl_course"

And run the jupyter server!!!

jupyter notebook