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 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.
 
 The results will be stored inside the folder, and the learning curves can be visualized in 
-tensorboard: 'tensorboard --logdir=/path/to/foler_containing_config_gin_file'.
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+tensorboard: `tensorboard --logdir=/path/to/foler_containing_config_gin_file`.
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