Q Learning simply explained | SARSA and Q-Learning Explanation

This problem is from a book called Reinforcement Learning: In Introduction by Richard S. Sutton and Andrew G. Barto. I found this problem to be a good way to introduce SARSA and Q-Learning. I am not an expert in reinforcement learning, but I find these kind of ideas interesting. I thought it would be cool to explore reinforcement learning and make a video explaining a concept to the best of my ability. I will be making more videos about reinforcement learning in the future and hopefully my explanations get better as time goes on.
Credits:
I used Manim for the animations.
All of the information on reinforcement learning came from the RL book by Sutton and Barto. I didn't explain the concepts well enough in the video to do the book justice. The book is very well written.
The environment is from AIGym.
GitHub:
github.com/marcuskoseck

[@DC-rk6xf]

Thanks for this introductory video. It helped me a lot.

[@sohamprajapati8784]

Nice job! Helps my understanding. Keep making such videos.

[@viralshorts9596]

this really boosted my understanding

[@Royal--00]

Very interesting!

[@jonaskarlsson5901]

does this mean it's not even using a neural network?

[@muslumyildiz5694]

Thanks

[@rogerperez6576]

Nice explanation

[@almonteros]

Nice.

[@aleksantoniak5448]

Hello, where could i find code for that?

[@marcuskoseck98]

Hello. My github has the code under the "SARSA-and-Q_Learning" tab. Link to the github page is in the description.