Need-4-Speed

Demos

I've added a demo Frozen Lake simulation that uses basic Q-learning. It can be used to easily check that your Open Gymnasium environment is set-up correctly.

Usage

Firstly, make sure that pipenv is installed using pip. Then:

1. Change into the gym-frozen-lake directory.
2. Run pipenv sync or pipenv install to install the dependencies from the Pipfile.lock file.
3. You might need to run pipenv shell before this. In either case, run it now to activate the virtual environment.
4. You can then execute the Frozen Lake demo using pipenv run python3 frozen_lake.py. It should print the state space and action space, then the rewards from training. Finally it plays 3 games and prints the results of each.
5. Change the render_mode to human to activate the simulation and see the training games being played "live".