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General implementations of different RL-algorithms, especially focused on Deep Q-Learning.

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Requirements: Python (<=3.11)

to install all needed libraries run:

pip install torch torchvision gymnasium matplotlib numpy

Also you'll need some gymnasium-environments to test the algorithm on, for example the Box2d-env (https://gymnasium.farama.org/environments/box2d/). Because of this, you probably need to install additional packages like (for Box2d):

pip install swig
pip install "gymnasium[box2d]"

Needed packages are listed at the specific websites of the environments (see also: https://gymnasium.farama.org/)

Notice that the installation of the packages may be different on Windows. It was so far only tested on Linux Mint.

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