Update README.md

Author: reiniscimurs

README.md

@@ -3,6 +3,8 @@
 
 Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles. Obstacles are detected by laser readings and a goal is given to the robot in polar coordinates. Trained in ROS Gazebo simulator with PyTorch.  Tested with ROS Noetic on Ubuntu 20.04 with python 3.8.10 and pytorch 1.10.
 
+**Installation and code overview tutorial available** [here](https://medium.com/@reinis_86651/deep-reinforcement-learning-in-mobile-robot-navigation-tutorial-part1-installation-d62715722303)
+
 Training example:
 <p align="center">
     <img width=100% src="https://github.com/reiniscimurs/DRL-robot-navigation/blob/main/training.gif">
@@ -28,6 +30,7 @@ Please cite as:<br/>
   doi={10.1109/LRA.2021.3133591}}
 ```
 
+## Installation
 Main dependencies: 
 
 * [ROS Noetic](http://wiki.ros.org/noetic/Installation)