From ec3e13ebbc81db2fc08d74510d9cf748fccc7a69 Mon Sep 17 00:00:00 2001
From: mlerik <baerenjesus@gmail.com>
Date: Tue, 16 Jul 2019 15:34:26 +0000
Subject: [PATCH] Update README.md

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 README.md | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
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-Examples of scripts to train agents in the Flatland environment.
+## Examples of scripts to train agents in the Flatland environment.
 
-It should be cloned inside the main flatland repository.
 
+# Torch Training
 The `torch_training` folder shows an example of how to train agents with a DQN implemented in pytorch.
+In the links below you find introductions to training an agent on Flatland:
 
+- Training an agent for navigation ([Introduction](https://gitlab.aicrowd.com/flatland/baselines/blob/master/torch_training/Getting_Started_Training.md))
+- Training multiple agents to avoid conflicts ([Introduction](https://gitlab.aicrowd.com/flatland/baselines/blob/master/torch_training/Multi_Agent_Training_Intro.md)) 
+
+Use this introductions to get used to the Flatland environment. Then build your own predictors, observations and agents to improve the performance even more and solve the most complex environments of the challenge.
+# RLLib Training
 The `RLLib_training` folder shows an example of how to train agents with  algorithm from implemented in the RLLib library available at: <https://github.com/ray-project/ray/tree/master/python/ray/rllib>
 
-- 
GitLab