This repository allows to run Rail Environment multi agent training with the RLLib Library.
It should be clone inside the main flatland repository.
## Installation:
`pip install ray`
`pip install gin-config`
To start a grid search on some parameters, you can create a folder containing a config.gin file (see example in `grid_search_configs/n_agents_grid_search/config.gin`.
Then, you can modify the config.gin file path at the end of the grid_search_train.py file.
The results will be stored inside the folder, and the learning curves can be visualized in
