RL Gymnasium Training

After my second, significantly more thorough reading of Reinforcement Learning: An Introduction by Sutton and Barto (2nd edition), I wanted to get my hands dirty and apply some of what I’d learned. I created the repository rl-gymnasium-training to work on my Reinforcement Learning (RL) skills using Gymnasium environments (https://gymnasium.farama.org/). There is no substitute for trying to implement and apply algorithms yourself - In my experience it not only improves your practical skills in a field, but also improves your understanding of the theory. At the time of writing this I had solved three simple gym environments, below are some gif examples:

Random Agent	Trained Agent

Check out the repository if you’re interested, and feel free to reach out with any questions!