Quick introduction on how to train a simple DQN agent using Flatland and Pytorch. At the end of this Tutorial you should be able to train a single agent to navigate in Flatland.
Quick introduction on how to train a simple DQN agent using Flatland and Pytorch. At the end of this Tutorial you should be able to train a single agent to navigate in Flatland.
We use the `training_navigation.py` file to train a simple agent with the tree observation to solve the navigation task.
We use the `training_navigation.py`[here](https://gitlab.aicrowd.com/flatland/baselines/blob/master/torch_training/training_navigation.py)file to train a simple agent with the tree observation to solve the navigation task.
## Actions in Flatland
## Actions in Flatland
Flatland is a railway simulation. Thus the actions of an agent are strongly limited to the railway network. This means that in many cases not all actions are valid.
Flatland is a railway simulation. Thus the actions of an agent are strongly limited to the railway network. This means that in many cases not all actions are valid.
