# Cartpole Gallery

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.
```

```{eval-rst}
.. 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:

    .. code-block:: shell
        
        pip install gymnasium

```

```{toctree}
:maxdepth: 3

cartpole.ipynb
```