Build a Custom Gymnasium Reinforcement Learning Environment & Train w Q-Learning & Stable Baselines3

End-to-end tutorial on creating a very simple custom Gymnasium-compatible (formerly, OpenAI Gym) Reinforcement Learning environment and then test it using both Q-Learning and the Stable Baselines3 library.

Get the code: https://github.com/johnnycode8/gym_cu...
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Gymnasium Tutorials:    • Gymnasium (Deep) Reinforcement Learni...  

00:00 Custom RL Env Approach
00:43 Model the Problem for RL
03:47 Build Custom Gym Env
04:25 Register the Custom Gym Env
04:58 Inherit gym.env
05:06 Define Metadata rendor_modes rendor_fps
06:02 Define Action Space using spaces.Discrete
07:30 Define Observation Space using spaces.Box
09:17 Implement reset function
10:28 Implement step function
12:15 Implement render function
12:47 Validate Custom Gym Env with check_env
15:22 Train with Q-Learning
18:38 Train with Stable Baselines3