From de8a9e088b0465a11e0f9b4089aad725ef9f2f0c Mon Sep 17 00:00:00 2001
From: mlerik <baerenjesus@gmail.com>
Date: Mon, 8 Jul 2019 19:18:43 +0000
Subject: [PATCH] Update Getting_Started_Training.md

---
 torch_training/Getting_Started_Training.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/torch_training/Getting_Started_Training.md b/torch_training/Getting_Started_Training.md
index 6ad45e1..88d2989 100644
--- a/torch_training/Getting_Started_Training.md
+++ b/torch_training/Getting_Started_Training.md
@@ -1,6 +1,6 @@
 # How to train an Agent on 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
 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.
-- 
GitLab