Reinforcement Learning tutorial

By:

Juan Pablo Martínez Piazuelo

Daniel Esteban Ochoa Tamayo

This tutorial is organized as follows:

1. Tabular Q-learning (gridworld)
2. Double Deep Q-learning (gridworld)
3. Deep Deterministic Policy Gradient (continous control) (under developement)

The files of the tutorial are under the folder numpy-based

Launch tutorial:

With binder (recommended):

With Azure notebooks: