Code developed and modified during the semester project for the AI Applications class of the MSc in Artificial Intelligence by NCSR Demokritos and University of Piraeus.
The project investigates the collaboration of human users with artificial agents towards achieving high rewards while interacting with the LunarLander-v2 Gym environment.
Code from Maze 3D Collaborative Learning on shared task repository was used as baseline, which was adjusted to the Lunar Lander environment functions and controls.
You can create a new virtual environment and install the dependencies using the requirements.txt file:
On macOS and Linux:
python3 -m venv <env>
On Windows:
py - m venv <env>
Package installation using requirements.txt file:
pip install -r requirements.txt