To write your own player you should create a subclass of `Player` (defined in [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py)) and then use an instance as a parameter of the `run_episode` method of `GridWorld` class (defined in [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py)).
To write your own player you should create a subclass of `Player` (defined in [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py)) and then use an instance as a parameter of the `run_episode` method of `GridWorld` class (defined in [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py)).
Examples of the usage of the package can be found in the implementation of two players `RandomPlayer` and `UserPlayer` from [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py), and in the files [`wumpus-usage.py`](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/examples/wumpus-usage.py), [`eater-usage.py`](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/examples/eater-usage.py) in the [`examples`](/wumpus-usage.py), [`eater-usage.py`]() directory of the repository.
Examples of the usage of the package can be found in the implementation of two players `RandomPlayer` and `UserPlayer` from [gridworld.py](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/wumpus/gridworld.py), and in the files [`wumpus-usage.py`](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/examples/wumpus-usage.py), [`eater-usage.py`](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/examples/eater-usage.py) in the [`examples`](https://gitlab.inf.unibz.it/tessaris/wumpus/blob/master/examples) directory of the repository.
Your player could be also run using the script `gridrunner` script (in the repository is the `runner.py` file) and it'll be available once the package is installed (in alternative could be executed using `python -m wumpus.runner`):
Your player could be also run using the script `gridrunner` script (in the repository is the `runner.py` file) and it'll be available once the package is installed (in alternative could be executed using `python -m wumpus.runner`):
