This repository contains the notebooks and configurations needed to run (end-to-end) my final project at the Reinforcement Learning Specialization, on Coursera, by the University of Alberta. The course goal was to how Reinforcement Learning (RL) solutions help solve real-world problems through trial-and-error interaction by implementing a complete RL solution from beginning to end. This project's goal was to design an agent to learn how to land a Lunar Module on the Moon based on the famous challenge environment provided by OpenAI Gym.
This project was built in MacOS Catalina, using Python 3.8
Download the repository and rebuild the Conda Enviroment by running within the repo file:
conda env create -f environment.yml --name repo-name
conda activate repo-name
If you have any questions, suggestions, or issues to report, feel free to open an issue, or reach me out through my profile.