ROS Developers LIVE-Class #21: A Basic Example of OpenAI with ROS

18/06/2018

In this ROS LIVE-Class we’re going to learn how to create our own Qlearning training for a cart pole in Gazebo using both OpenAI and ROS.

We will see:

How to create a Python training program that uses OpenAI infrastructure
How to create the environment that allows to get the observations and take the actions on a Gazebo simulation
How to interface everything with ROS

Every Tuesday at 18:00 CET/CEST.

This is a LIVE Class on how to develop with ROS. In Live Classes you practice with me at the same time that I explain, with the provided free ROS material.

IMPORTANT: Remember to be on time for the class because at the beginning of the class we will share the code with the attendants.

IMPORTANT 2: in order to start practicing quickly, we are using the ROS Development Studio for doing the practice. You will need a free account to attend the class. Go to ROS Development Stdio and create an account prior to the class.

[irp posts=”9720″ name=”ROS Developers LIVE-Class #22: How to create an OpenAI environment for your robotic problem”]