This repository allows to run Rail Environment multi agent training with the RLLib Library.
This repository allows to run Rail Environment multi agent training with the RLLib Library.
To start a grid search on some parameters, you can create a folder containing a config.gin file.
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.
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
The results will be stored inside the folder, and the learning curves can be visualized in