Cartpole GalleryΒΆ
This section contains a collection of examples that demonstrate how to use the library with the CartPole environment. The CartPole environment is a classic reinforcement learning environment that is often used to test and benchmark reinforcement learning algorithms.
Note
CartPole not be the best fit for a MCTS approach, due to its stochastic nature, but a lot of researches are familiar with it and it is a good starting point for getting to know the library.
Note
Please note that you have to install the gymnasium library in order to run the examples. You can do this by running the following command:
pip install gymnasium